Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects (4.2024)

Creation Time	Nov. 5, 2025, 2:49 a.m.
Last Access Time	Nov. 5, 2025, 2:49 a.m.
File Size	27.4 GB
Keywords	20 Masterclass Over - Deep Udemy 2024 2 4 Learning TensorFlow with Projects
Total Requests	1
Total Files	395
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19. Object Detection with YOLO algorithm/06. YOLO Loss.mp4 663.6 MB
18. Model deployment/07. Building the Emotions Detection API with Fastapi.mp4 647.6 MB
34. Extractive Question Answering with Longformer in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 589.8 MB
28. Neural Machine Translation with Transformers/02. Understanding Transformer Networks.mp4 586.1 MB
19. Object Detection with YOLO algorithm/03. YOLO paper.mp4 554.5 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/12. Building FiftyOne Data Augmentation Plugin with Stable Diffusion Inpainting.mp4 542.4 MB
29. Sentiment Analysis with Transformers/03. Sentiment analysis with LSH Attention.mp4 480.6 MB
11. MLOps with Weights and Biases/01. Experiment tracking.mp4 454.6 MB
08. Data augmentation/01. Data augmentation with TensorFlow using tf.image and Keras Layers.mp4 454.5 MB
28. Neural Machine Translation with Transformers/03. Building, training and testing Transformers.mp4 444.1 MB
17. Transformers in Vision/01. Understanding VITs.mp4 402.6 MB
22. Image generation/09. Face generation with GANs.mp4 391.8 MB
19. Object Detection with YOLO algorithm/04. Dataset Preparation.mp4 382.5 MB
35. Ecommerce search engine with Sentence transformers/04. Building,training and testing model.mp4 378.6 MB
17. Transformers in Vision/02. Building VITs from scratch.mp4 377.8 MB
02. Tensors and Variables/06. Linear Algebra Operations in Tensorflow.mp4 360.3 MB
12. Human Emotions Detection/03. Modeling and training.mp4 350.3 MB
13. Modern Convolutional Neural Networks/03. Resnet.mp4 342.1 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/06. How and Why Convolutional Neural Networks work.mp4 330.2 MB
08. Data augmentation/03. Cutmix Data augmentation with TensorFlow 2 and intergration in tf.data.mp4 328.1 MB
35. Ecommerce search engine with Sentence transformers/03. Dataset preparation.mp4 317.5 MB
31. Sentiment Analysis with Deberta in Huggingface transformers/02. Data Preparation.mp4 317.4 MB
11. MLOps with Weights and Biases/03. Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 313.1 MB
39. Automatic Speech Recognition/02. Understanding Speech recognition and Data Processing.mp4 297.6 MB
19. Object Detection with YOLO algorithm/08. Testing.mp4 296.6 MB
35. Ecommerce search engine with Sentence transformers/02. Problem Understanding and Sentence Embeddings.mp4 296.0 MB
02. Tensors and Variables/03. Tensor Initialization and Casting.mp4 286.5 MB
10. Tensorboard integration/01. Data logging.mp4 278.7 MB
12. Human Emotions Detection/05. Tensorflow records.mp4 277.7 MB
21. People counting/06. Data augmentation.mp4 252.5 MB
21. People counting/03. Dataset preparation.mp4 249.4 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/10. Model Evaluation with FiftyOne.mp4 247.9 MB
22. Image generation/06. How GANs work.mp4 228.2 MB
09. Advanced Tensorflow Concepts/03. Custom training loops.mp4 227.4 MB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 226.4 MB
15. Understanding the blackbox/02. Grad-cam method.mp4 220.7 MB
03. Building a Simple Neural Network in Tensorflow/04. Data Preparation.mp4 215.8 MB
12. Human Emotions Detection/02. Data preparation.mp4 213.6 MB
19. Object Detection with YOLO algorithm/07. Data augmentation.mp4 210.5 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/11. Virtual Cloth Try-on with Stable Diffusion Inpainting.mp4 209.5 MB
07. Improving Model Performance/01. Tensorflow Callbacks.mp4 207.9 MB
24. Sentiment Analysis with Recurrent neural networks/06. 1D Convolutional Neural Network.mp4 207.7 MB
31. Sentiment Analysis with Deberta in Huggingface transformers/03. Building,training and testing model.mp4 206.7 MB
02. Tensors and Variables/05. Maths Operations in Tensorflow.mp4 204.6 MB
02. Tensors and Variables/07. Common Methods.mp4 202.9 MB
24. Sentiment Analysis with Recurrent neural networks/05. Advanced RNNs (LSTM and GRU).mp4 202.3 MB
25. Sentiment Analysis with transfer learning/01. Understanding Word2vec.mp4 199.6 MB
13. Modern Convolutional Neural Networks/05. Mobilenet.mp4 197.9 MB
18. Model deployment/01. Model Conversion from Tensorflow to Onnx.mp4 195.8 MB
08. Data augmentation/04. Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 192.0 MB
07. Improving Model Performance/04. Mitigating overfitting and underfitting.mp4 189.0 MB
06. Evaluating Classification Models/01. Precision,Recall and Accuracy.mp4 186.7 MB
13. Modern Convolutional Neural Networks/06. Efficientnet.mp4 185.3 MB
36. Lyrics Generator with GPT2 in Huggingface transformers/03. Building,training and testing model.mp4 183.0 MB
17. Transformers in Vision/03. Finetuning Huggingface transformers.mp4 181.3 MB
13. Modern Convolutional Neural Networks/01. Alexnet.mp4 181.0 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/07. Data Visualization with FiftyOne.mp4 178.2 MB
33. Named Entity Relation with Roberta in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 176.4 MB
40. Essential Python Programming/14. Numpy Package.mp4 173.9 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/09. Model Creation.mp4 172.4 MB
13. Modern Convolutional Neural Networks/04. Coding Resnets.mp4 172.2 MB
03. Building a Simple Neural Network in Tensorflow/09. Validation and testing.mp4 170.2 MB
27. Neural Machine Translation with Attention/03. Building, training and testing Bahdanau Attention.mp4 170.1 MB
09. Advanced Tensorflow Concepts/01. Custom Loss and Metrics.mp4 169.4 MB
39. Automatic Speech Recognition/03. Buillding and Training speech recognition model.mp4 169.3 MB
10. Tensorboard integration/03. Hyperparameter tuning.mp4 167.0 MB
36. Lyrics Generator with GPT2 in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 164.0 MB
24. Sentiment Analysis with Recurrent neural networks/03. Data preparation.mp4 158.6 MB
22. Image generation/07. The GAN loss.mp4 158.0 MB
24. Sentiment Analysis with Recurrent neural networks/04. Building and training RNNs.mp4 157.0 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/05. Data Processing.mp4 156.1 MB
08. Data augmentation/02. Mixup Data augmentation with TensorFlow 2 with intergration in tf.data.mp4 155.2 MB
14. Transfer Learning/01. Leveraging pretrained models.mp4 153.3 MB
18. Model deployment/02. Understanding quantization.mp4 150.8 MB
15. Understanding the blackbox/01. Visualizing intermediate layers.mp4 150.0 MB
18. Model deployment/05. Conversion to Tensorflow Lite.mp4 147.2 MB
22. Image generation/04. VAE training and digit generation.mp4 146.1 MB
26. Neural Machine Translation with Recurrent Neural Networks/03. Data preparation.mp4 145.8 MB
18. Model deployment/04. Quantization aware training.mp4 140.4 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/03. Data Preparation.mp4 138.7 MB
12. Human Emotions Detection/04. Data augmentation.mp4 135.8 MB
11. MLOps with Weights and Biases/02. Hyperparameter tuning with wandb.mp4 135.1 MB
30. Transfer Learning and Generalized Language Models/06. Gpt2.mp4 133.9 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/01. Functional API.mp4 132.2 MB
28. Neural Machine Translation with Transformers/04. Building Transformers with Custom Attention Layer.mp4 129.1 MB
17. Transformers in Vision/06. Swin transformers.mp4 126.6 MB
22. Image generation/08. Improving GAN training.mp4 124.8 MB
17. Transformers in Vision/04. Model evaluation with wandb.mp4 123.4 MB
23. Text Preprocessing for Sentiment analysis/02. Text standardization.mp4 117.6 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/02. Model Subclassing.mp4 114.0 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/04. Data Splitting.mp4 113.5 MB
40. Essential Python Programming/02. Variables and Basic Operators.mp4 113.3 MB
13. Modern Convolutional Neural Networks/02. Vggnet.mp4 112.8 MB
25. Sentiment Analysis with transfer learning/04. Visualizing embeddings.mp4 107.9 MB
22. Image generation/05. Latent space visualizations.mp4 107.0 MB
34. Extractive Question Answering with Longformer in Huggingface transformers/03. Building,training and testing model.mp4 105.7 MB
07. Improving Model Performance/02. Learning rate scheduling.mp4 104.8 MB
22. Image generation/03. Understanding variational autoencoders.mp4 103.5 MB
30. Transfer Learning and Generalized Language Models/04. Bert.mp4 102.5 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/08. Understanding Segformer.mp4 102.2 MB
18. Model deployment/09. Load tesing the Emotions Detection API with Locust.mp4 101.3 MB
11. MLOps with Weights and Biases/04. Model Versioning with Weights and Biases and TensorFlow 2.mp4 99.9 MB
18. Model deployment/08. Deploy the Emotions Detection API to the Cloud.mp4 99.4 MB
14. Transfer Learning/02. Finetuning.mp4 99.0 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/11. Loading and Saving Tensorflow Models to Google Drive.mp4 97.4 MB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/03. Building,training and testing model.mp4 96.9 MB
26. Neural Machine Translation with Recurrent Neural Networks/02. Understanding Machine Translation.mp4 96.6 MB
03. Building a Simple Neural Network in Tensorflow/05. Linear Regression Model.mp4 95.8 MB
03. Building a Simple Neural Network in Tensorflow/06. Error sanctioning.mp4 95.4 MB
16. Ensembling and class imbalance/02. Class Imbalance.mp4 94.6 MB
02. Tensors and Variables/04. Indexing.mp4 92.7 MB
33. Named Entity Relation with Roberta in Huggingface transformers/03. Building,training and testing model.mp4 92.6 MB
30. Transfer Learning and Generalized Language Models/03. Gpt.mp4 90.1 MB
27. Neural Machine Translation with Attention/02. Understanding Bahdanau Attention.mp4 87.1 MB
23. Text Preprocessing for Sentiment analysis/01. Understanding sentiment analysis.mp4 86.1 MB
26. Neural Machine Translation with Recurrent Neural Networks/06. Coding BLEU score from scratch.mp4 86.0 MB
02. Tensors and Variables/08. Ragged Tensors.mp4 84.2 MB
26. Neural Machine Translation with Recurrent Neural Networks/04. Building, training and testing Model.mp4 83.7 MB
25. Sentiment Analysis with transfer learning/02. Integrating pretrained Word2vec embeddings.mp4 81.6 MB
32. Intent Classification with Deberta in Huggingface transformers/03. Building,training and testing model.mp4 79.8 MB
21. People counting/02. People Counting - Shangai Tech Dataset.mp4 78.9 MB
40. Essential Python Programming/12. Decorators.mp4 78.8 MB
18. Model deployment/06. What is an API.mp4 78.6 MB
40. Essential Python Programming/03. Conditional Statements.mp4 76.1 MB
40. Essential Python Programming/05. Methods.mp4 75.3 MB
03. Building a Simple Neural Network in Tensorflow/10. Corrective Measures.mp4 68.7 MB
03. Building a Simple Neural Network in Tensorflow/11. TensorFlow Datasets.mp4 67.8 MB
10. Tensorboard integration/04. Profiling and other visualizations with Tensorboard.mp4 66.8 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/06. Data Visualization with Matplotlib.mp4 65.3 MB
17. Transformers in Vision/05. Data efficient transformers.mp4 63.4 MB
37. Grammatical Error Correction with T5 in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 61.8 MB
18. Model deployment/03. Practical quantization of Onnx.mp4 61.4 MB
40. Essential Python Programming/04. Loops.mp4 61.0 MB
07. Improving Model Performance/03. Model checkpointing.mp4 58.6 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/09. Convnet training.mp4 56.0 MB
23. Text Preprocessing for Sentiment analysis/04. One-hot encoding and Bag of Words.mp4 55.1 MB
30. Transfer Learning and Generalized Language Models/08. T5.mp4 54.5 MB
24. Sentiment Analysis with Recurrent neural networks/02. How Recurrent neural networks work.mp4 53.7 MB
37. Grammatical Error Correction with T5 in Huggingface transformers/03. Building,training and testing model.mp4 52.8 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/02. Task understanding.mp4 52.3 MB
32. Intent Classification with Deberta in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4 49.3 MB
23. Text Preprocessing for Sentiment analysis/03. Tokenization.mp4 48.4 MB
03. Building a Simple Neural Network in Tensorflow/07. Training and Optimization.mp4 48.3 MB
29. Sentiment Analysis with Transformers/02. Sentiment analysis with Transformer encoder.mp4 48.2 MB
28. Neural Machine Translation with Transformers/05. Visualizing Attention scores.mp4 47.7 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/03. Custom Layers.mp4 47.0 MB
40. Essential Python Programming/07. Operator Overloading.mp4 46.1 MB
21. People counting/05. Training and optimization.mp4 44.5 MB
09. Advanced Tensorflow Concepts/02. Eager and graph modes.mp4 42.9 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/07. Building Convnets in Tensorflow.mp4 42.2 MB
25. Sentiment Analysis with transfer learning/03. Testing.mp4 42.1 MB
01. Introduction/02. General Introduction.mp4 39.6 MB
23. Text Preprocessing for Sentiment analysis/05. Term frequency - Inverse Document frequency (TF-IDF).mp4 38.3 MB
30. Transfer Learning and Generalized Language Models/01. Understanding Transfer Learning.mp4 37.2 MB
40. Essential Python Programming/06. Objects and Classes.mp4 36.9 MB
06. Evaluating Classification Models/02. Confusion Matrix.mp4 35.3 MB
16. Ensembling and class imbalance/01. Ensembling.mp4 33.8 MB
26. Neural Machine Translation with Recurrent Neural Networks/05. Understanding BLEU Score.mp4 33.5 MB
23. Text Preprocessing for Sentiment analysis/06. Embeddings.mp4 32.9 MB
40. Essential Python Programming/13. Generators.mp4 30.3 MB
40. Essential Python Programming/09. Inheritance.mp4 29.5 MB
06. Evaluating Classification Models/03. ROC Plots.mp4 28.9 MB
21. People counting/04. CSRNET.mp4 28.5 MB
40. Essential Python Programming/08. Method Types.mp4 26.9 MB
19. Object Detection with YOLO algorithm/05. YOLO Resnet.mp4 26.4 MB
03. Building a Simple Neural Network in Tensorflow/08. Performance Measurement.mp4 26.3 MB
02. Tensors and Variables/02. Tensor Basics.mp4 25.5 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/03. Data Downloading.mp4 25.1 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/08. Binary Crossentropy loss.mp4 24.9 MB
30. Transfer Learning and Generalized Language Models/05. Albert.mp4 24.4 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/05. Data Processing.mp4 23.3 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/02. Problem Understanding.mp4 22.9 MB
19. Object Detection with YOLO algorithm/09. Data generators.mp4 21.3 MB
02. Tensors and Variables/10. String Tensors.mp4 21.2 MB
22. Image generation/02. Introduction to image generation.mp4 19.5 MB
19. Object Detection with YOLO algorithm/02. Understanding object detection.mp4 18.7 MB
02. Tensors and Variables/11. Tensorflow Variables.mp4 18.6 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/10. Model evaluation and testing.mp4 17.2 MB
30. Transfer Learning and Generalized Language Models/02. Ulmfit.mp4 17.0 MB
40. Essential Python Programming/01. Python Installation.mp4 13.9 MB
01. Introduction/01. Welcome.mp4 13.9 MB
30. Transfer Learning and Generalized Language Models/07. Roberta.mp4 13.8 MB
40. Essential Python Programming/15. Matplotlib Introduction.mp4 13.6 MB
03. Building a Simple Neural Network in Tensorflow/03. Task Understanding.mp4 13.2 MB
10. Tensorboard integration/02. Viewing model graphs.mp4 9.6 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/04. Data visualization.mp4 9.6 MB
02. Tensors and Variables/09. Sparse Tensors.mp4 9.2 MB
40. Essential Python Programming/11. Polymorphism.mp4 6.4 MB
40. Essential Python Programming/10. Encapsulation.mp4 6.4 MB
18. Model deployment/07. Building the Emotions Detection API with Fastapi.vtt 98.6 KB
19. Object Detection with YOLO algorithm/06. YOLO Loss.vtt 80.2 KB
19. Object Detection with YOLO algorithm/03. YOLO paper.vtt 79.8 KB
28. Neural Machine Translation with Transformers/02. Understanding Transformer Networks.vtt 76.8 KB
34. Extractive Question Answering with Longformer in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 74.7 KB
11. MLOps with Weights and Biases/01. Experiment tracking.vtt 70.8 KB
12. Human Emotions Detection/03. Modeling and training.vtt 68.0 KB
02. Tensors and Variables/06. Linear Algebra Operations in Tensorflow.vtt 67.4 KB
17. Transformers in Vision/02. Building VITs from scratch.vtt 67.0 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/12. Building FiftyOne Data Augmentation Plugin with Stable Diffusion Inpainting.vtt 64.0 KB
28. Neural Machine Translation with Transformers/03. Building, training and testing Transformers.vtt 62.1 KB
22. Image generation/09. Face generation with GANs.vtt 59.0 KB
31. Sentiment Analysis with Deberta in Huggingface transformers/02. Data Preparation.vtt 57.9 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/06. How and Why Convolutional Neural Networks work.vtt 57.9 KB
40. Essential Python Programming/14. Numpy Package.vtt 56.6 KB
35. Ecommerce search engine with Sentence transformers/04. Building,training and testing model.vtt 56.4 KB
19. Object Detection with YOLO algorithm/04. Dataset Preparation.vtt 52.2 KB
21. People counting/03. Dataset preparation.vtt 49.7 KB
35. Ecommerce search engine with Sentence transformers/03. Dataset preparation.vtt 45.2 KB
35. Ecommerce search engine with Sentence transformers/02. Problem Understanding and Sentence Embeddings.vtt 45.0 KB
12. Human Emotions Detection/05. Tensorflow records.vtt 44.7 KB
24. Sentiment Analysis with Recurrent neural networks/05. Advanced RNNs (LSTM and GRU).vtt 43.2 KB
10. Tensorboard integration/01. Data logging.vtt 41.3 KB
02. Tensors and Variables/05. Maths Operations in Tensorflow.vtt 40.9 KB
13. Modern Convolutional Neural Networks/03. Resnet.vtt 40.5 KB
19. Object Detection with YOLO algorithm/08. Testing.vtt 39.3 KB
39. Automatic Speech Recognition/02. Understanding Speech recognition and Data Processing.vtt 38.3 KB
24. Sentiment Analysis with Recurrent neural networks/06. 1D Convolutional Neural Network.vtt 37.4 KB
02. Tensors and Variables/07. Common Methods.vtt 36.6 KB
12. Human Emotions Detection/02. Data preparation.vtt 35.9 KB
26. Neural Machine Translation with Recurrent Neural Networks/03. Data preparation.vtt 35.4 KB
26. Neural Machine Translation with Recurrent Neural Networks/04. Building, training and testing Model.vtt 35.4 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/10. Model Evaluation with FiftyOne.vtt 35.3 KB
01. Introduction/02. General Introduction.vtt 35.0 KB
31. Sentiment Analysis with Deberta in Huggingface transformers/03. Building,training and testing model.vtt 34.9 KB
07. Improving Model Performance/04. Mitigating overfitting and underfitting.vtt 34.9 KB
24. Sentiment Analysis with Recurrent neural networks/03. Data preparation.vtt 34.1 KB
33. Named Entity Relation with Roberta in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 33.3 KB
36. Lyrics Generator with GPT2 in Huggingface transformers/03. Building,training and testing model.vtt 32.8 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/09. Model Creation.vtt 32.6 KB
09. Advanced Tensorflow Concepts/03. Custom training loops.vtt 32.6 KB
21. People counting/06. Data augmentation.vtt 32.4 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/08. Understanding Segformer.vtt 32.1 KB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 32.1 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/11. Virtual Cloth Try-on with Stable Diffusion Inpainting.vtt 31.7 KB
07. Improving Model Performance/01. Tensorflow Callbacks.vtt 31.4 KB
25. Sentiment Analysis with transfer learning/01. Understanding Word2vec.vtt 31.3 KB
02. Tensors and Variables/04. Indexing.vtt 31.2 KB
40. Essential Python Programming/02. Variables and Basic Operators.vtt 30.6 KB
22. Image generation/08. Improving GAN training.vtt 30.3 KB
03. Building a Simple Neural Network in Tensorflow/04. Data Preparation.vtt 30.3 KB
06. Evaluating Classification Models/01. Precision,Recall and Accuracy.vtt 29.8 KB
19. Object Detection with YOLO algorithm/07. Data augmentation.vtt 29.5 KB
24. Sentiment Analysis with Recurrent neural networks/04. Building and training RNNs.vtt 29.2 KB
11. MLOps with Weights and Biases/02. Hyperparameter tuning with wandb.vtt 28.8 KB
13. Modern Convolutional Neural Networks/05. Mobilenet.vtt 28.8 KB
18. Model deployment/01. Model Conversion from Tensorflow to Onnx.vtt 28.7 KB
17. Transformers in Vision/03. Finetuning Huggingface transformers.vtt 28.6 KB
13. Modern Convolutional Neural Networks/04. Coding Resnets.vtt 28.2 KB
39. Automatic Speech Recognition/03. Buillding and Training speech recognition model.vtt 28.1 KB
03. Building a Simple Neural Network in Tensorflow/09. Validation and testing.vtt 28.0 KB
14. Transfer Learning/01. Leveraging pretrained models.vtt 27.7 KB
36. Lyrics Generator with GPT2 in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 27.4 KB
17. Transformers in Vision/04. Model evaluation with wandb.vtt 27.4 KB
15. Understanding the blackbox/02. Grad-cam method.vtt 27.2 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/05. Data Processing.vtt 27.2 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/03. Data Preparation.vtt 27.0 KB
27. Neural Machine Translation with Attention/03. Building, training and testing Bahdanau Attention.vtt 26.8 KB
08. Data augmentation/04. Albumentations with TensorFlow 2 and PyTorch for Data augmentation.vtt 26.6 KB
09. Advanced Tensorflow Concepts/01. Custom Loss and Metrics.vtt 25.8 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/07. Data Visualization with FiftyOne.vtt 25.4 KB
10. Tensorboard integration/03. Hyperparameter tuning.vtt 25.2 KB
28. Neural Machine Translation with Transformers/04. Building Transformers with Custom Attention Layer.vtt 24.8 KB
24. Sentiment Analysis with Recurrent neural networks/02. How Recurrent neural networks work.vtt 24.7 KB
22. Image generation/06. How GANs work.vtt 24.7 KB
30. Transfer Learning and Generalized Language Models/03. Gpt.vtt 24.6 KB
27. Neural Machine Translation with Attention/02. Understanding Bahdanau Attention.vtt 24.6 KB
18. Model deployment/06. What is an API.vtt 24.1 KB
30. Transfer Learning and Generalized Language Models/04. Bert.vtt 24.0 KB
15. Understanding the blackbox/01. Visualizing intermediate layers.vtt 23.3 KB
08. Data augmentation/02. Mixup Data augmentation with TensorFlow 2 with intergration in tf.data.vtt 23.2 KB
40. Essential Python Programming/04. Loops.vtt 23.1 KB
22. Image generation/07. The GAN loss.vtt 23.0 KB
12. Human Emotions Detection/04. Data augmentation.vtt 22.7 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/11. Loading and Saving Tensorflow Models to Google Drive.vtt 22.7 KB
32. Intent Classification with Deberta in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 22.5 KB
18. Model deployment/02. Understanding quantization.vtt 22.2 KB
40. Essential Python Programming/05. Methods.vtt 22.2 KB
18. Model deployment/04. Quantization aware training.vtt 22.1 KB
11. MLOps with Weights and Biases/04. Model Versioning with Weights and Biases and TensorFlow 2.vtt 21.9 KB
03. Building a Simple Neural Network in Tensorflow/06. Error sanctioning.vtt 21.8 KB
18. Model deployment/05. Conversion to Tensorflow Lite.vtt 21.6 KB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/03. Custom Layers.vtt 21.6 KB
03. Building a Simple Neural Network in Tensorflow/07. Training and Optimization.vtt 21.4 KB
07. Improving Model Performance/02. Learning rate scheduling.vtt 21.3 KB
13. Modern Convolutional Neural Networks/06. Efficientnet.vtt 21.0 KB
23. Text Preprocessing for Sentiment analysis/03. Tokenization.vtt 20.4 KB
13. Modern Convolutional Neural Networks/01. Alexnet.vtt 20.2 KB
26. Neural Machine Translation with Recurrent Neural Networks/06. Coding BLEU score from scratch.vtt 20.1 KB
40. Essential Python Programming/12. Decorators.vtt 19.7 KB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/01. Functional API.vtt 19.5 KB
22. Image generation/05. Latent space visualizations.vtt 19.4 KB
17. Transformers in Vision/06. Swin transformers.vtt 19.2 KB
22. Image generation/03. Understanding variational autoencoders.vtt 18.8 KB
25. Sentiment Analysis with transfer learning/04. Visualizing embeddings.vtt 18.7 KB
40. Essential Python Programming/03. Conditional Statements.vtt 18.3 KB
03. Building a Simple Neural Network in Tensorflow/05. Linear Regression Model.vtt 18.1 KB
23. Text Preprocessing for Sentiment analysis/04. One-hot encoding and Bag of Words.vtt 17.8 KB
23. Text Preprocessing for Sentiment analysis/02. Text standardization.vtt 17.6 KB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/03. Building,training and testing model.vtt 16.8 KB
18. Model deployment/09. Load tesing the Emotions Detection API with Locust.vtt 16.7 KB
28. Neural Machine Translation with Transformers/05. Visualizing Attention scores.vtt 16.7 KB
26. Neural Machine Translation with Recurrent Neural Networks/02. Understanding Machine Translation.vtt 16.7 KB
33. Named Entity Relation with Roberta in Huggingface transformers/03. Building,training and testing model.vtt 16.3 KB
40. Essential Python Programming/06. Objects and Classes.vtt 16.2 KB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/02. Model Subclassing.vtt 16.1 KB
25. Sentiment Analysis with transfer learning/02. Integrating pretrained Word2vec embeddings.vtt 15.9 KB
14. Transfer Learning/02. Finetuning.vtt 15.8 KB
09. Advanced Tensorflow Concepts/02. Eager and graph modes.vtt 15.8 KB
30. Transfer Learning and Generalized Language Models/01. Understanding Transfer Learning.vtt 15.6 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/04. Data Splitting.vtt 15.4 KB
34. Extractive Question Answering with Longformer in Huggingface transformers/03. Building,training and testing model.vtt 14.7 KB
18. Model deployment/08. Deploy the Emotions Detection API to the Cloud.vtt 14.6 KB
30. Transfer Learning and Generalized Language Models/06. Gpt2.vtt 14.6 KB
02. Tensors and Variables/08. Ragged Tensors.vtt 14.4 KB
16. Ensembling and class imbalance/02. Class Imbalance.vtt 14.2 KB
23. Text Preprocessing for Sentiment analysis/01. Understanding sentiment analysis.vtt 14.1 KB
21. People counting/02. People Counting - Shangai Tech Dataset.vtt 13.8 KB
13. Modern Convolutional Neural Networks/02. Vggnet.vtt 13.7 KB
03. Building a Simple Neural Network in Tensorflow/11. TensorFlow Datasets.vtt 13.4 KB
03. Building a Simple Neural Network in Tensorflow/10. Corrective Measures.vtt 13.3 KB
26. Neural Machine Translation with Recurrent Neural Networks/05. Understanding BLEU Score.vtt 13.3 KB
23. Text Preprocessing for Sentiment analysis/06. Embeddings.vtt 13.1 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/08. Binary Crossentropy loss.vtt 13.1 KB
32. Intent Classification with Deberta in Huggingface transformers/03. Building,training and testing model.vtt 12.4 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/06. Data Visualization with Matplotlib.vtt 12.3 KB
40. Essential Python Programming/07. Operator Overloading.vtt 12.2 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/02. Task understanding.vtt 11.5 KB
06. Evaluating Classification Models/02. Confusion Matrix.vtt 11.4 KB
23. Text Preprocessing for Sentiment analysis/05. Term frequency - Inverse Document frequency (TF-IDF).vtt 11.3 KB
40. Essential Python Programming/09. Inheritance.vtt 11.3 KB
37. Grammatical Error Correction with T5 in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt 11.0 KB
17. Transformers in Vision/05. Data efficient transformers.vtt 10.8 KB
29. Sentiment Analysis with Transformers/02. Sentiment analysis with Transformer encoder.vtt 10.5 KB
30. Transfer Learning and Generalized Language Models/08. T5.vtt 10.4 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/05. Data Processing.vtt 10.3 KB
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06. Evaluating Classification Models/03. ROC Plots.vtt 10.1 KB
18. Model deployment/03. Practical quantization of Onnx.vtt 10.1 KB
40. Essential Python Programming/13. Generators.vtt 10.1 KB
10. Tensorboard integration/04. Profiling and other visualizations with Tensorboard.vtt 9.9 KB
07. Improving Model Performance/03. Model checkpointing.vtt 9.7 KB
40. Essential Python Programming/08. Method Types.vtt 9.6 KB
25. Sentiment Analysis with transfer learning/03. Testing.vtt 9.5 KB
21. People counting/04. CSRNET.vtt 9.4 KB
37. Grammatical Error Correction with T5 in Huggingface transformers/03. Building,training and testing model.vtt 8.4 KB
19. Object Detection with YOLO algorithm/02. Understanding object detection.vtt 8.4 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/07. Building Convnets in Tensorflow.vtt 8.3 KB
21. People counting/05. Training and optimization.vtt 7.4 KB
02. Tensors and Variables/02. Tensor Basics.vtt 7.3 KB
16. Ensembling and class imbalance/01. Ensembling.vtt 6.9 KB
19. Object Detection with YOLO algorithm/05. YOLO Resnet.vtt 6.9 KB
04. Building Convolutional Neural Networks Malaria Diagnosis/10. Model evaluation and testing.vtt 6.9 KB
19. Object Detection with YOLO algorithm/09. Data generators.vtt 6.0 KB
30. Transfer Learning and Generalized Language Models/05. Albert.vtt 5.9 KB
30. Transfer Learning and Generalized Language Models/02. Ulmfit.vtt 5.8 KB
03. Building a Simple Neural Network in Tensorflow/03. Task Understanding.vtt 5.3 KB
01. Introduction/03. Link to Code.html 5.2 KB
40. Essential Python Programming/15. Matplotlib Introduction.vtt 4.9 KB
40. Essential Python Programming/01. Python Installation.vtt 4.8 KB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/03. Data Downloading.vtt 4.7 KB
02. Tensors and Variables/11. Tensorflow Variables.vtt 4.4 KB
03. Building a Simple Neural Network in Tensorflow/08. Performance Measurement.vtt 4.4 KB
22. Image generation/02. Introduction to image generation.vtt 4.2 KB
02. Tensors and Variables/10. String Tensors.vtt 4.1 KB
10. Tensorboard integration/02. Viewing model graphs.vtt 3.8 KB
01. Introduction/01. Welcome.vtt 3.6 KB
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20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/02. Problem Understanding.vtt 3.5 KB
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30. Transfer Learning and Generalized Language Models/07. Roberta.vtt 2.9 KB
40. Essential Python Programming/11. Polymorphism.vtt 2.8 KB
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35. Ecommerce search engine with Sentence transformers/01. Link to Code.html 270 bytes
03. Building a Simple Neural Network in Tensorflow/02. Link to Code.html 267 bytes
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33. Named Entity Relation with Roberta in Huggingface transformers/01. Link to Code.html 257 bytes
37. Grammatical Error Correction with T5 in Huggingface transformers/01. Link to Code.html 256 bytes
24. Sentiment Analysis with Recurrent neural networks/01. Link to Code.html 255 bytes
32. Intent Classification with Deberta in Huggingface transformers/01. Link to Code.html 255 bytes
38. Elon Musk Bot with BlenderBot in Huggingface transformers/01. Link to Code.html 255 bytes
36. Lyrics Generator with GPT2 in Huggingface transformers/01. Link to Code.html 252 bytes
31. Sentiment Analysis with Deberta in Huggingface transformers/01. Link to Code.html 248 bytes
26. Neural Machine Translation with Recurrent Neural Networks/01. Link to Code.html 246 bytes
27. Neural Machine Translation with Attention/01. Link to Code.html 239 bytes
12. Human Emotions Detection/01. Link to Code.html 235 bytes
28. Neural Machine Translation with Transformers/01. Link to Code.html 233 bytes
29. Sentiment Analysis with Transformers/01. Link to Code.html 225 bytes
19. Object Detection with YOLO algorithm/01. Link to Code.html 222 bytes
21. People counting/01. Link to Code.html 213 bytes
39. Automatic Speech Recognition/01. Link to Code.html 213 bytes
02. Tensors and Variables/01. Link to Code.html 203 bytes
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/01. Link to Code.html 154 bytes
03. Building a Simple Neural Network in Tensorflow/01. Link to Dataset.html 147 bytes

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