[GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

Creation Time	Dec. 2, 2023, 3:01 p.m.
Last Access Time	Nov. 7, 2024, 1:15 p.m.
File Size	2.7 GB
Keywords	and for Keras with - Udemy Computer GigaCourse in CNN TensorFlow R com Vision
Total Requests	98
Total Files	107
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11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 216.2 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 130.7 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 122.2 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 111.8 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 101.6 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 99.2 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 96.7 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 87.7 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 84.4 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 82.9 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 71.6 MB
14. Creating CNN model in R/5. Model Performance.mp4 68.1 MB
13. CNN - Basics/5. Channels.mp4 67.8 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 67.0 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 64.1 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 62.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 60.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 60.1 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 56.4 MB
13. CNN - Basics/4. Filters and Feature maps.mp4 52.7 MB
13. CNN - Basics/1. CNN Introduction.mp4 51.2 MB
16. Project Creating CNN model from scratch/1. Project - Introduction.mp4 49.4 MB
13. CNN - Basics/6. PoolingLayer.mp4 46.9 MB
16. Project Creating CNN model from scratch/4. CNN Project in R - Structure and Compile.mp4 46.1 MB
6. Standard Model Parameters/1. Hyperparameters.mp4 45.3 MB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 44.8 MB
15. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in R.mp4 44.6 MB
2. Setting Up R Studio and R crash course/8. Creating Histograms in R.mp4 42.0 MB
2. Setting Up R Studio and R crash course/4. Inputting data part 1 Inbuilt datasets of R.mp4 40.7 MB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 40.4 MB
2. Setting Up R Studio and R crash course/2. Basics of R and R studio.mp4 38.8 MB
2. Setting Up R Studio and R crash course/1. Installing R and R studio.mp4 35.7 MB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 34.6 MB
14. Creating CNN model in R/4. Compiling and training.mp4 32.2 MB
13. CNN - Basics/3. Padding.mp4 31.6 MB
18. Transfer Learning Basics/5. Transfer Learning.mp4 30.0 MB
2. Setting Up R Studio and R crash course/5. Inputting data part 2 Manual data entry.mp4 25.5 MB
16. Project Creating CNN model from scratch/5. Project in R - Training.mp4 24.6 MB
17. Project Data Augmentation for avoiding overfitting/2. Project in R - Validation Performance.mp4 23.7 MB
16. Project Creating CNN model from scratch/6. Project in R - Model Performance.mp4 23.2 MB
7. Tensorflow and Keras/2. Installing Keras and Tensorflow.mp4 22.8 MB
1. Introduction/1. Introduction.mp4 21.6 MB
18. Transfer Learning Basics/4. GoogLeNet.mp4 21.4 MB
18. Transfer Learning Basics/1. ILSVRC.mp4 20.9 MB
13. CNN - Basics/2. Stride.mp4 16.6 MB
7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 14.9 MB
2. Setting Up R Studio and R crash course/3. Packages in R.srt 14.5 MB
18. Transfer Learning Basics/3. VGG16NET.mp4 10.4 MB
1. Introduction/2.1 ST Academy - CNN course files R.zip 7.6 MB
14. Creating CNN model in R/1. CNN on MNIST Fashion Dataset - Model Architecture.mp4 7.4 MB
18. Transfer Learning Basics/2. LeNET.mp4 7.0 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt 22.8 KB
11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 20.4 KB
9. R - Building and training the Model/1. Building, Compiling and Training.srt 15.4 KB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.srt 13.4 KB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).srt 13.1 KB
5. Important concepts Common Interview questions/1. Some Important Concepts.srt 13.1 KB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.srt 12.1 KB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt 11.9 KB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.srt 11.4 KB
2. Setting Up R Studio and R crash course/2. Basics of R and R studio.srt 10.8 KB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt 9.7 KB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt 9.5 KB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.4 KB
9. R - Building and training the Model/2. Evaluating and Predicting.srt 9.4 KB
6. Standard Model Parameters/1. Hyperparameters.srt 8.9 KB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).srt 8.4 KB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt 7.9 KB
10. The NeuralNets Package/1. ANN with NeuralNets Package.srt 7.7 KB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.srt 7.5 KB
14. Creating CNN model in R/2. Data Preprocessing.srt 7.2 KB
16. Project Creating CNN model from scratch/1. Project - Introduction.srt 7.1 KB
13. CNN - Basics/4. Filters and Feature maps.srt 6.5 KB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.srt 6.4 KB
14. Creating CNN model in R/5. Model Performance.srt 6.3 KB
14. Creating CNN model in R/3. Creating Model Architecture.srt 6.1 KB
2. Setting Up R Studio and R crash course/8. Creating Histograms in R.srt 5.9 KB
13. CNN - Basics/5. Channels.srt 5.9 KB
2. Setting Up R Studio and R crash course/1. Installing R and R studio.srt 5.6 KB
18. Transfer Learning Basics/5. Transfer Learning.srt 5.3 KB
16. Project Creating CNN model from scratch/4. CNN Project in R - Structure and Compile.srt 5.2 KB
13. CNN - Basics/6. PoolingLayer.srt 5.1 KB
13. CNN - Basics/3. Padding.srt 4.6 KB
18. Transfer Learning Basics/1. ILSVRC.srt 4.4 KB
15. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in R.srt 4.1 KB
2. Setting Up R Studio and R crash course/4. Inputting data part 1 Inbuilt datasets of R.srt 4.0 KB
1. Introduction/1. Introduction.srt 3.6 KB
7. Tensorflow and Keras/1. Keras and Tensorflow.srt 3.6 KB
14. Creating CNN model in R/4. Compiling and training.srt 3.0 KB
18. Transfer Learning Basics/4. GoogLeNet.srt 3.0 KB
7. Tensorflow and Keras/2. Installing Keras and Tensorflow.srt 3.0 KB
2. Setting Up R Studio and R crash course/5. Inputting data part 2 Manual data entry.srt 3.0 KB
16. Project Creating CNN model from scratch/5. Project in R - Training.srt 2.8 KB
13. CNN - Basics/2. Stride.srt 2.7 KB
17. Project Data Augmentation for avoiding overfitting/2. Project in R - Validation Performance.srt 2.5 KB
16. Project Creating CNN model from scratch/6. Project in R - Model Performance.srt 2.5 KB
18. Transfer Learning Basics/3. VGG16NET.srt 1.9 KB
18. Transfer Learning Basics/2. LeNET.srt 1.6 KB
Readme.txt 962 bytes
16. Project Creating CNN model from scratch/2. Data for the project.html 232 bytes
4. Neural Networks - Stacking cells to create network/4. Quiz.html 165 bytes
5. Important concepts Common Interview questions/2. Quiz.html 165 bytes
16. Project Creating CNN model from scratch/2.1 Download the project dataset.html 127 bytes
1. Introduction/2. Course resources.html 82 bytes
[GigaCourse.com].url 49 bytes
14. Creating CNN model in R/1. CNN on MNIST Fashion Dataset - Model Architecture.srt 0 bytes

[GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

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