[FreeCourseSite.com] Udemy - Image Recognition for Beginners using CNN in R Studio

Creation Time	Feb. 23, 2025, 3:15 p.m.
Last Access Time	Jan. 15, 2026, 10:27 a.m.
File Size	2.9 GB
Keywords	for FreeCourseSite Image - Udemy Beginners R Studio in CNN using com Recognition
Total Requests	55
Total Files	119
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12 - Saving and Restoring Models/28 - Saving Restoring Models and Using Callbacks.mp4 216.2 MB
11 - R Complex ANN Architectures using Functional API/26 - Building Regression Model with Functional AP.mp4 131.1 MB
9 - R Building and training the Model/23 - Building Compiling and Training.mp4 130.7 MB
4 - Neural Networks Stacking cells to create network/16 - Back Propagation.mp4 122.2 MB
8 - R Dataset for classification problem/21 - Data Normalization and TestTrain Split.mp4 111.8 MB
20 - Transfer Learning in R/55 - Project Transfer Learning VGG16 Implementation.mp4 101.6 MB
9 - R Building and training the Model/24 - Evaluating and Predicting.mp4 99.2 MB
2 - Setting Up R Studio and R crash course/10 - Creating Barplots in R.mp4 96.7 MB
17 - Project Creating CNN model from scratch/44 - Project in R Data Preprocessing.mp4 87.7 MB
10 - The NeuralNets Package/25 - ANN with NeuralNets Package.mp4 84.4 MB
2 - Setting Up R Studio and R crash course/6 - Packages in R.mp4 82.9 MB
11 - R Complex ANN Architectures using Functional API/27 - Complex Architectures using Functional API.mp4 79.5 MB
15 - Creating CNN model in R/38 - Creating Model Architecture.mp4 71.6 MB
15 - Creating CNN model in R/40 - Model Performance.mp4 68.1 MB
14 - CNN Basics/34 - Channels.mp4 67.8 MB
15 - Creating CNN model in R/37 - Data Preprocessing.mp4 67.0 MB
20 - Transfer Learning in R/56 - Project Transfer Learning VGG16 Performance.mp4 64.1 MB
5 - Important concepts Common Interview questions/17 - Some Important Concepts.mp4 62.2 MB
13 - Hyperparameter Tuning/29 - Hyperparameter Tuning.mp4 60.6 MB
4 - Neural Networks Stacking cells to create network/15 - Gradient Descent.mp4 60.1 MB
2 - Setting Up R Studio and R crash course/9 - Inputting data part 3 Importing from CSV or Text files.mp4 60.1 MB
14 - CNN Basics/30 - CNN Introduction.mp4 56.8 MB
18 - Project Data Augmentation for avoiding overfitting/48 - Project in R Data Augmentation.mp4 56.4 MB
14 - CNN Basics/33 - Filters and Feature maps.mp4 52.7 MB
17 - Project Creating CNN model from scratch/42 - Project Introduction.mp4 49.4 MB
14 - CNN Basics/35 - PoolingLayer.mp4 46.9 MB
17 - Project Creating CNN model from scratch/45 - CNN Project in R Structure and Compile.mp4 46.1 MB
6 - Standard Model Parameters/18 - Hyperparameters.mp4 45.3 MB
3 - Single Cells Perceptron and Sigmoid Neuron/12 - Perceptron.mp4 44.8 MB
16 - Analyzing impact of Pooling layer/41 - Comparison Pooling vs Without Pooling in R.mp4 44.6 MB
2 - Setting Up R Studio and R crash course/11 - Creating Histograms in R.mp4 42.0 MB
2 - Setting Up R Studio and R crash course/7 - Inputting data part 1 Inbuilt datasets of R.mp4 40.7 MB
4 - Neural Networks Stacking cells to create network/14 - Basic Terminologies.mp4 39.4 MB
2 - Setting Up R Studio and R crash course/5 - Basics of R and R studio.mp4 38.8 MB
2 - Setting Up R Studio and R crash course/3 - Installing R and R studio.mp4 35.7 MB
3 - Single Cells Perceptron and Sigmoid Neuron/13 - Activation Functions.mp4 34.6 MB
15 - Creating CNN model in R/39 - Compiling and training.mp4 32.2 MB
14 - CNN Basics/32 - Padding.mp4 31.6 MB
19 - Transfer Learning Basics/54 - Transfer Learning.mp4 30.0 MB
2 - Setting Up R Studio and R crash course/8 - Inputting data part 2 Manual data entry.mp4 25.5 MB
17 - Project Creating CNN model from scratch/46 - Project in R Training.mp4 24.6 MB
18 - Project Data Augmentation for avoiding overfitting/49 - Project in R Validation Performance.mp4 23.7 MB
17 - Project Creating CNN model from scratch/47 - Project in R Model Performance.mp4 23.2 MB
7 - Tensorflow and Keras/20 - Installing Keras and Tensorflow.mp4 22.8 MB
1 - Introduction/1 - Introduction.mp4 21.6 MB
19 - Transfer Learning Basics/53 - GoogLeNet.mp4 21.4 MB
19 - Transfer Learning Basics/50 - ILSVRC.mp4 20.9 MB
2 - Setting Up R Studio and R crash course/4 - This is a milestone.mp4 20.7 MB
14 - CNN Basics/31 - Stride.mp4 16.6 MB
7 - Tensorflow and Keras/19 - Keras and Tensorflow.mp4 14.9 MB
21 - Congratulations & about your certificate/57 - The final milestone.mp4 11.8 MB
19 - Transfer Learning Basics/52 - VGG16NET.mp4 10.4 MB
15 - Creating CNN model in R/36 - CNN on MNIST Fashion Dataset Model Architecture.mp4 7.3 MB
19 - Transfer Learning Basics/51 - LeNET.mp4 7.0 MB
4 - Neural Networks Stacking cells to create network/16 - Back Propagation English.vtt 22.2 KB
12 - Saving and Restoring Models/28 - Saving Restoring Models and Using Callbacks English.vtt 19.3 KB
2 - Setting Up R Studio and R crash course/10 - Creating Barplots in R English.vtt 16.4 KB
9 - R Building and training the Model/23 - Building Compiling and Training English.vtt 14.5 KB
2 - Setting Up R Studio and R crash course/6 - Packages in R English.vtt 13.1 KB
2 - Setting Up R Studio and R crash course/5 - Basics of R and R studio English.vtt 12.8 KB
20 - Transfer Learning in R/55 - Project Transfer Learning VGG16 Implementation English.vtt 12.7 KB
5 - Important concepts Common Interview questions/17 - Some Important Concepts English.vtt 12.3 KB
11 - R Complex ANN Architectures using Functional API/26 - Building Regression Model with Functional AP English.vtt 12.2 KB
8 - R Dataset for classification problem/21 - Data Normalization and TestTrain Split English.vtt 11.4 KB
4 - Neural Networks Stacking cells to create network/15 - Gradient Descent English.vtt 11.4 KB
17 - Project Creating CNN model from scratch/44 - Project in R Data Preprocessing English.vtt 10.7 KB
4 - Neural Networks Stacking cells to create network/14 - Basic Terminologies English.vtt 9.7 KB
3 - Single Cells Perceptron and Sigmoid Neuron/12 - Perceptron English.vtt 9.3 KB
9 - R Building and training the Model/24 - Evaluating and Predicting English.vtt 9.0 KB
13 - Hyperparameter Tuning/29 - Hyperparameter Tuning English.vtt 8.9 KB
6 - Standard Model Parameters/18 - Hyperparameters English.vtt 8.4 KB
20 - Transfer Learning in R/56 - Project Transfer Learning VGG16 Performance English.vtt 8.0 KB
11 - R Complex ANN Architectures using Functional API/27 - Complex Architectures using Functional API English.vtt 7.9 KB
10 - The NeuralNets Package/25 - ANN with NeuralNets Package English.vtt 7.5 KB
2 - Setting Up R Studio and R crash course/9 - Inputting data part 3 Importing from CSV or Text files English.vtt 7.5 KB
3 - Single Cells Perceptron and Sigmoid Neuron/13 - Activation Functions English.vtt 7.4 KB
14 - CNN Basics/30 - CNN Introduction English.vtt 7.1 KB
2 - Setting Up R Studio and R crash course/11 - Creating Histograms in R English.vtt 6.8 KB
14 - CNN Basics/33 - Filters and Feature maps English.vtt 6.8 KB
17 - Project Creating CNN model from scratch/42 - Project Introduction English.vtt 6.7 KB
15 - Creating CNN model in R/37 - Data Preprocessing English.vtt 6.7 KB
2 - Setting Up R Studio and R crash course/3 - Installing R and R studio English.vtt 6.6 KB
18 - Project Data Augmentation for avoiding overfitting/48 - Project in R Data Augmentation English.vtt 6.5 KB
18 - Project Data Augmentation for avoiding overfitting/49 - Project in R Validation Performance English.vtt 6.0 KB
15 - Creating CNN model in R/40 - Model Performance English.vtt 5.9 KB
15 - Creating CNN model in R/38 - Creating Model Architecture English.vtt 5.7 KB
14 - CNN Basics/34 - Channels English.vtt 5.6 KB
14 - CNN Basics/35 - PoolingLayer English.vtt 5.3 KB
2 - Setting Up R Studio and R crash course/7 - Inputting data part 1 Inbuilt datasets of R English.vtt 5.0 KB
17 - Project Creating CNN model from scratch/45 - CNN Project in R Structure and Compile English.vtt 5.0 KB
19 - Transfer Learning Basics/54 - Transfer Learning English.vtt 4.9 KB
14 - CNN Basics/32 - Padding English.vtt 4.4 KB
19 - Transfer Learning Basics/50 - ILSVRC English.vtt 4.0 KB
16 - Analyzing impact of Pooling layer/41 - Comparison Pooling vs Without Pooling in R English.vtt 3.8 KB
2 - Setting Up R Studio and R crash course/4 - This is a milestone English.vtt 3.4 KB
7 - Tensorflow and Keras/19 - Keras and Tensorflow English.vtt 3.4 KB
2 - Setting Up R Studio and R crash course/8 - Inputting data part 2 Manual data entry English.vtt 3.3 KB
1 - Introduction/1 - Introduction English.vtt 3.3 KB
19 - Transfer Learning Basics/53 - GoogLeNet English.vtt 2.9 KB
15 - Creating CNN model in R/39 - Compiling and training English.vtt 2.8 KB
17 - Project Creating CNN model from scratch/46 - Project in R Training English.vtt 2.8 KB
14 - CNN Basics/31 - Stride English.vtt 2.7 KB
7 - Tensorflow and Keras/20 - Installing Keras and Tensorflow English.vtt 2.7 KB
21 - Congratulations & about your certificate/58 - Bonus lecture.html 2.3 KB
17 - Project Creating CNN model from scratch/47 - Project in R Model Performance English.vtt 2.3 KB
15 - Creating CNN model in R/36 - CNN on MNIST Fashion Dataset Model Architecture English.vtt 2.1 KB
19 - Transfer Learning Basics/52 - VGG16NET English.vtt 1.8 KB
19 - Transfer Learning Basics/51 - LeNET English.vtt 1.7 KB
21 - Congratulations & about your certificate/57 - The final milestone English.vtt 1.6 KB
8 - R Dataset for classification problem/22 - More about testtrain split.html 559 bytes
1 - Introduction/2 - Course Resources.html 333 bytes
17 - Project Creating CNN model from scratch/43 - Data for the project.html 232 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
17 - Project Creating CNN model from scratch/43 - Download the project dataset.txt 66 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
4 - Neural Networks Stacking cells to create network/1 - Quiz.html 0 bytes
5 - Important concepts Common Interview questions/2 - Quiz.html 0 bytes
6 - Standard Model Parameters/3 - Quiz.html 0 bytes

[FreeCourseSite.com] Udemy - Image Recognition for Beginners using CNN in R Studio

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