[Tutorialsplanet.NET] Udemy - Complete Tensorflow 2 And Keras Deep Learning Bootcamp

Creation Time	Feb. 7, 2026, 7:08 p.m.
Last Access Time	March 12, 2026, 9:52 p.m.
File Size	8.3 GB
Keywords	Tutorialsplanet And Complete Keras - Deep Udemy 2 Learning Tensorflow NET Bootcamp
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Total Files	246
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9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 235.1 MB
1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 231.6 MB
9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 229.6 MB
7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 225.1 MB
7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 220.0 MB
13 - Deployment/116 - Live Deployment to the Web.mp4 195.4 MB
9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 195.4 MB
7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 191.0 MB
12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 172.9 MB
7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 171.1 MB
13 - Deployment/115 - Flask Front End.mp4 167.5 MB
11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 167.3 MB
4 - Pandas Crash Course/18 - Data Input and Output.mp4 151.7 MB
8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 135.3 MB
7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 133.4 MB
7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 124.9 MB
13 - Deployment/110 - Creating the Model.mp4 122.1 MB
5 - Visualization Crash Course/23 - Seaborn Basics.mp4 120.0 MB
7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 118.5 MB
8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 118.2 MB
8 - Convolutional Neural Networks CNNs/65 - CNN on MNIST Part Two Creating and Training the Model.mp4 115.9 MB
8 - Convolutional Neural Networks CNNs/70 - CNN on Real Image Files Part One Reading in the Data.mp4 114.8 MB
7 - Basic Artificial Neural Networks ANNs/44 - Keras Regression Code Along Exploratory Data Analysis Continued.mp4 111.5 MB
11 - AutoEncoders/100 - Autoencoder for Images Part One.mp4 105.6 MB
8 - Convolutional Neural Networks CNNs/60 - Image Filters and Kernels.mp4 103.1 MB
7 - Basic Artificial Neural Networks ANNs/54 - Keras Project Solutions Categorical Data.mp4 99.7 MB
1 - Course Overview Installs and Setup/3 - FINAL-TF2-FILES.zip 99.3 MB
1 - Course Overview Installs and Setup/4 - FINAL-TF2-FILES.zip 99.3 MB
9 - Recurrent Neural Networks RNNs/83 - RNN on a Sine Wave Creating the Model.mp4 95.9 MB
9 - Recurrent Neural Networks RNNs/84 - RNN on a Sine Wave LSTMs and Forecasting.mp4 94.6 MB
8 - Convolutional Neural Networks CNNs/67 - CNN on CIFAR10 Part One The Data.mp4 94.0 MB
7 - Basic Artificial Neural Networks ANNs/46 - Keras Regression Code Along Model Evaluation and Predictions.mp4 93.0 MB
10 - Natural Language Processing/93 - NLP Part Three Creating Batches.mp4 92.8 MB
10 - Natural Language Processing/94 - NLP Part Four Creating the Model.mp4 91.2 MB
7 - Basic Artificial Neural Networks ANNs/50 - TensorFlow 20 Keras Project Notebook Overview.mp4 90.5 MB
11 - AutoEncoders/101 - Autoencoder for Images Part Two Noise Removal.mp4 90.5 MB
3 - NumPy Crash Course/6 - NumPy Arrays.mp4 88.6 MB
7 - Basic Artificial Neural Networks ANNs/57 - Keras Project Solutions Model Evaluation.mp4 85.6 MB
7 - Basic Artificial Neural Networks ANNs/42 - Keras Syntax Basics Part Three Model Evaluation.mp4 85.3 MB
8 - Convolutional Neural Networks CNNs/75 - CNN Exercise Solutions.mp4 84.4 MB
4 - Pandas Crash Course/16 - GroupBy Operations.mp4 83.5 MB
6 - Machine Learning Concepts Overview/29 - Evaluating Performance Classification Error Metrics.mp4 82.3 MB
7 - Basic Artificial Neural Networks ANNs/35 - Activation Functions.mp4 79.6 MB
12 - Generative Adversarial Networks/108 - DCGAN Deep Convolutional Generative Adversarial Networks.mp4 78.2 MB
13 - Deployment/113 - Flask Postman API.mp4 78.0 MB
8 - Convolutional Neural Networks CNNs/64 - CNN on MNIST Part One The Data.mp4 77.5 MB
7 - Basic Artificial Neural Networks ANNs/37 - Cost Functions and Gradient Descent.mp4 75.8 MB
4 - Pandas Crash Course/20 - Pandas Exercises Solutions.mp4 71.4 MB
10 - Natural Language Processing/95 - NLP Part Five Training the Model.mp4 71.3 MB
13 - Deployment/111 - Model Prediction Function.mp4 70.7 MB
7 - Basic Artificial Neural Networks ANNs/40 - Keras Syntax Basics Part One Preparing the Data.mp4 70.0 MB
4 - Pandas Crash Course/17 - Pandas Operations.mp4 69.5 MB
13 - Deployment/112 - Running a Basic Flask Application.mp4 69.1 MB
5 - Visualization Crash Course/25 - Data Visualization Exercises Solutions.mp4 69.0 MB
7 - Basic Artificial Neural Networks ANNs/33 - Perceptron Model.mp4 67.7 MB
7 - Basic Artificial Neural Networks ANNs/47 - Keras Classification Code Along EDA and Preprocessing.mp4 61.9 MB
8 - Convolutional Neural Networks CNNs/61 - Convolutional Layers.mp4 58.9 MB
3 - NumPy Crash Course/7 - Numpy Index Selection.mp4 58.5 MB
9 - Recurrent Neural Networks RNNs/82 - RNN on a Sine Wave Batch Generator.mp4 57.3 MB
4 - Pandas Crash Course/13 - Pandas DataFrames Part One.mp4 56.6 MB
10 - Natural Language Processing/96 - NLP Part Six Generating Text.mp4 56.2 MB
7 - Basic Artificial Neural Networks ANNs/38 - Backpropagation.mp4 55.8 MB
3 - NumPy Crash Course/8 - NumPy Operations.mp4 55.4 MB
3 - NumPy Crash Course/10 - Numpy Exercises Solutions.mp4 55.2 MB
9 - Recurrent Neural Networks RNNs/81 - RNN on a Sine Wave The Data.mp4 54.9 MB
12 - Generative Adversarial Networks/104 - GANs Overview.mp4 53.7 MB
7 - Basic Artificial Neural Networks ANNs/45 - Keras Regression Code Along Data Preprocessing and Creating a Model.mp4 53.7 MB
8 - Convolutional Neural Networks CNNs/68 - CNN on CIFAR10 Part Two Evaluating the Model.mp4 52.0 MB
9 - Recurrent Neural Networks RNNs/85 - RNN on a Time Series Part One.mp4 51.9 MB
12 - Generative Adversarial Networks/106 - Creating a GAN Part Two The Model.mp4 50.6 MB
8 - Convolutional Neural Networks CNNs/73 - CNN on Real Image Files Part Four Evaluating the Model.mp4 47.1 MB
7 - Basic Artificial Neural Networks ANNs/36 - MultiClass Classification Considerations.mp4 45.9 MB
4 - Pandas Crash Course/15 - Pandas Missing Data.mp4 45.5 MB
11 - AutoEncoders/103 - Autoencoder Exercise Solutions.mp4 44.3 MB
8 - Convolutional Neural Networks CNNs/66 - CNN on MNIST Part Three Model Evaluation.mp4 44.3 MB
4 - Pandas Crash Course/12 - Pandas Series.mp4 42.7 MB
7 - Basic Artificial Neural Networks ANNs/56 - Keras Project Solutions Creating and Training a Model.mp4 40.8 MB
4 - Pandas Crash Course/14 - Pandas DataFrames Part Two.mp4 40.8 MB
9 - Recurrent Neural Networks RNNs/79 - LSTMS and GRU.mp4 40.7 MB
7 - Basic Artificial Neural Networks ANNs/34 - Neural Networks.mp4 36.4 MB
11 - AutoEncoders/102 - Autoencoder Exercise Overview.mp4 35.4 MB
5 - Visualization Crash Course/22 - Matplotlib Basics.mp4 32.8 MB
6 - Machine Learning Concepts Overview/26 - What is Machine Learning.mp4 31.9 MB
10 - Natural Language Processing/92 - NLP Part Two Text Processing.mp4 30.0 MB
9 - Recurrent Neural Networks RNNs/87 - RNN Exercise.mp4 29.9 MB
9 - Recurrent Neural Networks RNNs/77 - RNN Basic Theory.mp4 29.1 MB
8 - Convolutional Neural Networks CNNs/62 - Pooling Layers.mp4 28.8 MB
9 - Recurrent Neural Networks RNNs/78 - Vanishing Gradients.mp4 27.9 MB
4 - Pandas Crash Course/11 - Introduction to Pandas.mp4 27.0 MB
4 - Pandas Crash Course/19 - Pandas Exercises.mp4 26.9 MB
5 - Visualization Crash Course/24 - Data Visualization Exercises.mp4 26.2 MB
1 - Course Overview Installs and Setup/2 - Course Overview.mp4 26.2 MB
6 - Machine Learning Concepts Overview/28 - Overfitting.mp4 25.4 MB
11 - AutoEncoders/98 - Autoencoder Basics.mp4 24.6 MB
9 - Recurrent Neural Networks RNNs/80 - RNN Batches.mp4 24.4 MB
6 - Machine Learning Concepts Overview/27 - Supervised Learning Overview.mp4 23.9 MB
6 - Machine Learning Concepts Overview/30 - Evaluating Performance Regression Error Metrics.mp4 23.3 MB
13 - Deployment/109 - Introduction to Deployment.mp4 22.8 MB
13 - Deployment/114 - Flask API Using Requests Programmatically.mp4 22.3 MB
8 - Convolutional Neural Networks CNNs/69 - Downloading Data Set for Real Image Lectures.mp4 21.4 MB
8 - Convolutional Neural Networks CNNs/74 - CNN Exercise Overview.mp4 20.4 MB
12 - Generative Adversarial Networks/105 - Creating a GAN Part One The Data.mp4 20.4 MB
10 - Natural Language Processing/90 - Introduction to NLP Section.mp4 19.5 MB
7 - Basic Artificial Neural Networks ANNs/55 - Keras Project Solutions Data PreProcessing.mp4 18.9 MB
3 - NumPy Crash Course/9 - NumPy Exercises.mp4 16.3 MB
10 - Natural Language Processing/91 - NLP Part One The Data.mp4 15.7 MB
8 - Convolutional Neural Networks CNNs/63 - MNIST Data Set Overview.mp4 12.8 MB
6 - Machine Learning Concepts Overview/31 - Unsupervised Learning.mp4 11.4 MB
3 - NumPy Crash Course/5 - Introduction to NumPy.mp4 11.4 MB
11 - AutoEncoders/97 - Introduction to Autoencoders.mp4 11.2 MB
9 - Recurrent Neural Networks RNNs/76 - RNN Section Overview.mp4 7.1 MB
7 - Basic Artificial Neural Networks ANNs/39 - TensorFlow vs Keras Explained.mp4 5.8 MB
7 - Basic Artificial Neural Networks ANNs/49 - TensorFlow 20 Keras Project Options Overview.mp4 5.4 MB
7 - Basic Artificial Neural Networks ANNs/32 - Introduction to ANN Section.mp4 5.4 MB
8 - Convolutional Neural Networks CNNs/59 - CNN Section Overview.mp4 4.0 MB
5 - Visualization Crash Course/21 - Introduction to Python Visualization.mp4 3.6 MB
1 - Course Overview Installs and Setup/3 - Course Setup and Installation English.vtt 32.2 KB
12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training English.vtt 31.9 KB
9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions English.vtt 29.5 KB
9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two English.vtt 29.3 KB
7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard English.vtt 26.5 KB
11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction English.vtt 26.3 KB
7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis English.vtt 26.0 KB
3 - NumPy Crash Course/6 - NumPy Arrays English.vtt 25.4 KB
7 - Basic Artificial Neural Networks ANNs/37 - Cost Functions and Gradient Descent English.vtt 25.2 KB
13 - Deployment/115 - Flask Front End English.vtt 24.6 KB
7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis English.vtt 24.3 KB
9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs English.vtt 23.9 KB
7 - Basic Artificial Neural Networks ANNs/54 - Keras Project Solutions Categorical Data English.vtt 23.4 KB
6 - Machine Learning Concepts Overview/29 - Evaluating Performance Classification Error Metrics English.vtt 23.4 KB
5 - Visualization Crash Course/23 - Seaborn Basics English.vtt 22.8 KB
13 - Deployment/116 - Live Deployment to the Web English.vtt 22.6 KB
8 - Convolutional Neural Networks CNNs/65 - CNN on MNIST Part Two Creating and Training the Model English.vtt 22.5 KB
11 - AutoEncoders/100 - Autoencoder for Images Part One English.vtt 22.0 KB
7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation English.vtt 22.0 KB
13 - Deployment/110 - Creating the Model English.vtt 21.5 KB
8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing English.vtt 21.0 KB
9 - Recurrent Neural Networks RNNs/83 - RNN on a Sine Wave Creating the Model English.vtt 19.5 KB
8 - Convolutional Neural Networks CNNs/61 - Convolutional Layers English.vtt 19.3 KB
7 - Basic Artificial Neural Networks ANNs/38 - Backpropagation English.vtt 19.2 KB
7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data English.vtt 18.9 KB
7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model English.vtt 18.7 KB
8 - Convolutional Neural Networks CNNs/70 - CNN on Real Image Files Part One Reading in the Data English.vtt 18.7 KB
8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model English.vtt 18.3 KB
4 - Pandas Crash Course/17 - Pandas Operations English.vtt 17.8 KB
7 - Basic Artificial Neural Networks ANNs/44 - Keras Regression Code Along Exploratory Data Analysis Continued English.vtt 17.4 KB
10 - Natural Language Processing/93 - NLP Part Three Creating Batches English.vtt 17.2 KB
8 - Convolutional Neural Networks CNNs/64 - CNN on MNIST Part One The Data English.vtt 16.8 KB
9 - Recurrent Neural Networks RNNs/84 - RNN on a Sine Wave LSTMs and Forecasting English.vtt 16.7 KB
8 - Convolutional Neural Networks CNNs/60 - Image Filters and Kernels English.vtt 16.4 KB
7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two English.vtt 16.3 KB
7 - Basic Artificial Neural Networks ANNs/33 - Perceptron Model English.vtt 16.3 KB
12 - Generative Adversarial Networks/106 - Creating a GAN Part Two The Model English.vtt 16.2 KB
7 - Basic Artificial Neural Networks ANNs/42 - Keras Syntax Basics Part Three Model Evaluation English.vtt 16.1 KB
4 - Pandas Crash Course/13 - Pandas DataFrames Part One English.vtt 15.9 KB
4 - Pandas Crash Course/18 - Data Input and Output English.vtt 15.7 KB
8 - Convolutional Neural Networks CNNs/67 - CNN on CIFAR10 Part One The Data English.vtt 15.6 KB
7 - Basic Artificial Neural Networks ANNs/35 - Activation Functions English.vtt 15.3 KB
9 - Recurrent Neural Networks RNNs/79 - LSTMS and GRU English.vtt 15.2 KB
7 - Basic Artificial Neural Networks ANNs/36 - MultiClass Classification Considerations English.vtt 14.8 KB
7 - Basic Artificial Neural Networks ANNs/46 - Keras Regression Code Along Model Evaluation and Predictions English.vtt 14.7 KB
3 - NumPy Crash Course/7 - Numpy Index Selection English.vtt 14.6 KB
13 - Deployment/112 - Running a Basic Flask Application English.vtt 14.2 KB
7 - Basic Artificial Neural Networks ANNs/40 - Keras Syntax Basics Part One Preparing the Data English.vtt 14.0 KB
4 - Pandas Crash Course/15 - Pandas Missing Data English.vtt 13.9 KB
10 - Natural Language Processing/94 - NLP Part Four Creating the Model English.vtt 13.8 KB
13 - Deployment/113 - Flask Postman API English.vtt 13.7 KB
10 - Natural Language Processing/95 - NLP Part Five Training the Model English.vtt 13.2 KB
11 - AutoEncoders/103 - Autoencoder Exercise Solutions English.vtt 13.1 KB
4 - Pandas Crash Course/16 - GroupBy Operations English.vtt 12.9 KB
7 - Basic Artificial Neural Networks ANNs/57 - Keras Project Solutions Model Evaluation English.vtt 12.8 KB
9 - Recurrent Neural Networks RNNs/85 - RNN on a Time Series Part One English.vtt 12.8 KB
4 - Pandas Crash Course/14 - Pandas DataFrames Part Two English.vtt 12.5 KB
5 - Visualization Crash Course/22 - Matplotlib Basics English.vtt 12.4 KB
13 - Deployment/111 - Model Prediction Function English.vtt 11.8 KB
10 - Natural Language Processing/96 - NLP Part Six Generating Text English.vtt 11.6 KB
6 - Machine Learning Concepts Overview/27 - Supervised Learning Overview English.vtt 11.5 KB
4 - Pandas Crash Course/12 - Pandas Series English.vtt 11.5 KB
7 - Basic Artificial Neural Networks ANNs/50 - TensorFlow 20 Keras Project Notebook Overview English.vtt 11.5 KB
9 - Recurrent Neural Networks RNNs/80 - RNN Batches English.vtt 11.4 KB
12 - Generative Adversarial Networks/104 - GANs Overview English.vtt 11.3 KB
8 - Convolutional Neural Networks CNNs/73 - CNN on Real Image Files Part Four Evaluating the Model English.vtt 11.2 KB
9 - Recurrent Neural Networks RNNs/81 - RNN on a Sine Wave The Data English.vtt 11.2 KB
7 - Basic Artificial Neural Networks ANNs/45 - Keras Regression Code Along Data Preprocessing and Creating a Model English.vtt 11.1 KB
8 - Convolutional Neural Networks CNNs/75 - CNN Exercise Solutions English.vtt 11.0 KB
3 - NumPy Crash Course/8 - NumPy Operations English.vtt 10.9 KB
11 - AutoEncoders/98 - Autoencoder Basics English.vtt 10.8 KB
6 - Machine Learning Concepts Overview/28 - Overfitting English.vtt 10.7 KB
7 - Basic Artificial Neural Networks ANNs/47 - Keras Classification Code Along EDA and Preprocessing English.vtt 10.6 KB
9 - Recurrent Neural Networks RNNs/82 - RNN on a Sine Wave Batch Generator English.vtt 10.5 KB
11 - AutoEncoders/101 - Autoencoder for Images Part Two Noise Removal English.vtt 10.4 KB
9 - Recurrent Neural Networks RNNs/77 - RNN Basic Theory English.vtt 10.3 KB
7 - Basic Artificial Neural Networks ANNs/34 - Neural Networks English.vtt 10.2 KB
9 - Recurrent Neural Networks RNNs/78 - Vanishing Gradients English.vtt 10.1 KB
3 - NumPy Crash Course/10 - Numpy Exercises Solutions English.vtt 9.8 KB
5 - Visualization Crash Course/25 - Data Visualization Exercises Solutions English.vtt 9.8 KB
8 - Convolutional Neural Networks CNNs/68 - CNN on CIFAR10 Part Two Evaluating the Model English.vtt 9.8 KB
8 - Convolutional Neural Networks CNNs/62 - Pooling Layers English.vtt 9.6 KB
4 - Pandas Crash Course/20 - Pandas Exercises Solutions English.vtt 9.3 KB
12 - Generative Adversarial Networks/108 - DCGAN Deep Convolutional Generative Adversarial Networks English.vtt 9.3 KB
8 - Convolutional Neural Networks CNNs/66 - CNN on MNIST Part Three Model Evaluation English.vtt 8.8 KB
10 - Natural Language Processing/90 - Introduction to NLP Section English.vtt 8.4 KB
8 - Convolutional Neural Networks CNNs/69 - Downloading Data Set for Real Image Lectures English.vtt 7.9 KB
6 - Machine Learning Concepts Overview/30 - Evaluating Performance Regression Error Metrics English.vtt 7.8 KB
6 - Machine Learning Concepts Overview/26 - What is Machine Learning English.vtt 7.6 KB
1 - Course Overview Installs and Setup/2 - Course Overview English.vtt 6.9 KB
8 - Convolutional Neural Networks CNNs/63 - MNIST Data Set Overview English.vtt 6.7 KB
6 - Machine Learning Concepts Overview/31 - Unsupervised Learning English.vtt 6.5 KB
9 - Recurrent Neural Networks RNNs/87 - RNN Exercise English.vtt 6.4 KB
10 - Natural Language Processing/91 - NLP Part One The Data English.vtt 6.4 KB
12 - Generative Adversarial Networks/105 - Creating a GAN Part One The Data English.vtt 6.0 KB
4 - Pandas Crash Course/11 - Introduction to Pandas English.vtt 5.8 KB
10 - Natural Language Processing/92 - NLP Part Two Text Processing English.vtt 5.6 KB
7 - Basic Artificial Neural Networks ANNs/56 - Keras Project Solutions Creating and Training a Model English.vtt 5.4 KB
1 - Course Overview Installs and Setup/4 - FAQ Frequently Asked Questions.html 5.3 KB
13 - Deployment/114 - Flask API Using Requests Programmatically English.vtt 5.3 KB
13 - Deployment/109 - Introduction to Deployment English.vtt 5.1 KB
11 - AutoEncoders/102 - Autoencoder Exercise Overview English.vtt 4.9 KB
7 - Basic Artificial Neural Networks ANNs/55 - Keras Project Solutions Data PreProcessing English.vtt 4.7 KB
5 - Visualization Crash Course/24 - Data Visualization Exercises English.vtt 4.6 KB
11 - AutoEncoders/97 - Introduction to Autoencoders English.vtt 4.6 KB
4 - Pandas Crash Course/19 - Pandas Exercises English.vtt 3.9 KB
9 - Recurrent Neural Networks RNNs/76 - RNN Section Overview English.vtt 3.7 KB
8 - Convolutional Neural Networks CNNs/74 - CNN Exercise Overview English.vtt 3.5 KB
3 - NumPy Crash Course/5 - Introduction to NumPy English.vtt 3.2 KB
7 - Basic Artificial Neural Networks ANNs/32 - Introduction to ANN Section English.vtt 3.0 KB
7 - Basic Artificial Neural Networks ANNs/39 - TensorFlow vs Keras Explained English.vtt 2.8 KB
8 - Convolutional Neural Networks CNNs/59 - CNN Section Overview English.vtt 2.4 KB
7 - Basic Artificial Neural Networks ANNs/49 - TensorFlow 20 Keras Project Options Overview English.vtt 2.3 KB
3 - NumPy Crash Course/9 - NumPy Exercises English.vtt 1.9 KB
5 - Visualization Crash Course/21 - Introduction to Python Visualization English.vtt 1.8 KB
1 - Course Overview Installs and Setup/1 - AutoWelcome Message.html 1.0 KB
1 - Course Overview Installs and Setup/3 - requirements.txt 153 bytes
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1 - Course Overview Installs and Setup/[Tutorialsplanet.NET].url 128 bytes
13 - Deployment/[Tutorialsplanet.NET].url 128 bytes
4 - Pandas Crash Course/[Tutorialsplanet.NET].url 128 bytes
8 - Convolutional Neural Networks CNNs/[Tutorialsplanet.NET].url 128 bytes
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9 - Recurrent Neural Networks RNNs/79 - How to choose between LSTM vs GRU.txt 79 bytes
9 - Recurrent Neural Networks RNNs/79 - Famous Karpathy Blog Post.txt 55 bytes
9 - Recurrent Neural Networks RNNs/79 - Wikipedia Article Describing LSTM Variants.txt 52 bytes
7 - Basic Artificial Neural Networks ANNs/38 - Great walkthrough for BackPropagation.txt 51 bytes
9 - Recurrent Neural Networks RNNs/79 - Great Blog Post on Exploring LSTM Neurons.txt 48 bytes
2 - COURSE OVERVIEW CONFIRMATION/1 - PLEASE WATCH COURSE OVERVIEW LECTURE.html 47 bytes
8 - Convolutional Neural Networks CNNs/69 - cellimageszip Click the blue download button or the download button on the top right you cant preview this zip.txt 0 bytes

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