Download Udemy - CNN for Computer Vision with Keras and TensorFlow in R [GC] Torrent

Torrent Contents Size: 2.7 GB

Udemy - CNN for Computer Vision with Keras and TensorFlow in R [GC]

▼ show more 92 files

1. ANN with NeuralNets Package.mp4	MP4	84.4 MB
1. ANN with NeuralNets Package.srt	SRT	7.7 KB
1. Basic Terminologies.mp4	MP4	40.4 MB
1. Basic Terminologies.srt	SRT	9.5 KB
1. Building, Compiling and Training.mp4	MP4	130.7 MB
1. Building, Compiling and Training.srt	SRT	15.4 KB
1. CNN Introduction.mp4	MP4	51.2 MB
1. CNN on MNIST Fashion Dataset - Model Architecture.mp4	MP4	7.4 MB
1. CNN on MNIST Fashion Dataset - Model Architecture.srt	SRT	0 B
1. Comparison - Pooling vs Without Pooling in R.mp4	MP4	44.6 MB
1. Comparison - Pooling vs Without Pooling in R.srt	SRT	4.1 KB
1. Data Normalization and Test-Train Split.mp4	MP4	111.8 MB
1. Data Normalization and Test-Train Split.srt	SRT	12.1 KB
1. Hyperparameter Tuning.mp4	MP4	60.6 MB
1. Hyperparameter Tuning.srt	SRT	9.4 KB
1. Hyperparameters.mp4	MP4	45.3 MB
1. Hyperparameters.srt	SRT	8.9 KB
1. ILSVRC.mp4	MP4	20.9 MB
1. ILSVRC.srt	SRT	4.4 KB
1. Installing R and R studio.mp4	MP4	35.7 MB
1. Installing R and R studio.srt	SRT	5.6 KB
1. Introduction.mp4	MP4	21.6 MB
1. Introduction.srt	SRT	3.6 KB
1. Keras and Tensorflow.mp4	MP4	14.9 MB
1. Keras and Tensorflow.srt	SRT	3.6 KB
1. Perceptron.mp4	MP4	44.8 MB
1. Perceptron.srt	SRT	9.7 KB
1. Project - Introduction.mp4	MP4	49.4 MB
1. Project - Introduction.srt	SRT	7.1 KB
1. Project - Transfer Learning - VGG16 (Implementation).mp4	MP4	101.6 MB
1. Project - Transfer Learning - VGG16 (Implementation).srt	SRT	13.1 KB
1. Project in R - Data Augmentation.mp4	MP4	56.4 MB
1. Project in R - Data Augmentation.srt	SRT	7.5 KB
1. Saving - Restoring Models and Using Callbacks.mp4	MP4	216.2 MB
1. Saving - Restoring Models and Using Callbacks.srt	SRT	20.4 KB
1. Some Important Concepts.mp4	MP4	62.2 MB
1. Some Important Concepts.srt	SRT	13.1 KB
2. Activation Functions.mp4	MP4	34.6 MB
2. Activation Functions.srt	SRT	7.9 KB
2. Basics of R and R studio.mp4	MP4	38.8 MB
2. Basics of R and R studio.srt	SRT	10.8 KB
2. Course resources.html	HTML	102.4 B
2. Data Preprocessing.mp4	MP4	67 MB
2. Data Preprocessing.srt	SRT	7.2 KB
2. Data for the project.html	HTML	204.8 B
2. Evaluating and Predicting.mp4	MP4	99.2 MB
2. Evaluating and Predicting.srt	SRT	9.4 KB
2. Gradient Descent.mp4	MP4	60.3 MB
2. Gradient Descent.srt	SRT	11.9 KB
2. Installing Keras and Tensorflow.mp4	MP4	22.8 MB
2. Installing Keras and Tensorflow.srt	SRT	3 KB
2. LeNET.mp4	MP4	7 MB
2. LeNET.srt	SRT	1.6 KB
2. Project - Transfer Learning - VGG16 (Performance).mp4	MP4	64.1 MB
2. Project - Transfer Learning - VGG16 (Performance).srt	SRT	8.4 KB
2. Project in R - Validation Performance.mp4	MP4	23.7 MB
2. Project in R - Validation Performance.srt	SRT	2.5 KB
2. Quiz.html	HTML	204.8 B
2. Stride.mp4	MP4	16.6 MB
2. Stride.srt	SRT	2.7 KB
2.1 Download the project dataset.html	HTML	102.4 B
2.1 ST Academy - CNN course files R.zip	ZIP	7.6 MB
3. Back Propagation.mp4	MP4	122.2 MB
3. Back Propagation.srt	SRT	22.8 KB
3. Creating Model Architecture.mp4	MP4	71.6 MB
3. Creating Model Architecture.srt	SRT	6.1 KB
3. Packages in R.mp4	MP4	82.9 MB
3. Packages in R.srt	SRT	14.5 MB
3. Padding.mp4	MP4	31.6 MB
3. Padding.srt	SRT	4.6 KB
3. Project in R - Data Preprocessing.mp4	MP4	87.7 MB
3. Project in R - Data Preprocessing.srt	SRT	11.4 KB
3. VGG16NET.mp4	MP4	10.4 MB
3. VGG16NET.srt	SRT	1.9 KB
4. CNN Project in R - Structure and Compile.mp4	MP4	46.1 MB
4. CNN Project in R - Structure and Compile.srt	SRT	5.2 KB
4. Compiling and training.mp4	MP4	32.2 MB
4. Compiling and training.srt	SRT	3 KB
4. Filters and Feature maps.mp4	MP4	52.7 MB
4. Filters and Feature maps.srt	SRT	6.5 KB
4. GoogLeNet.mp4	MP4	21.4 MB
4. GoogLeNet.srt	SRT	3 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	MP4	40.7 MB
4. Inputting data part 1 Inbuilt datasets of R.srt	SRT	4 KB
4. Quiz.html	HTML	204.8 B
5. Channels.mp4	MP4	67.8 MB
5. Channels.srt	SRT	5.9 KB
5. Inputting data part 2 Manual data entry.mp4	MP4	25.5 MB
5. Inputting data part 2 Manual data entry.srt	SRT	3 KB
5. Model Performance.mp4	MP4	68.1 MB
5. Model Performance.srt	SRT	6.3 KB
5. Project in R - Training.mp4	MP4	24.6 MB
5. Project in R - Training.srt	SRT	2.8 KB
5. Transfer Learning.mp4	MP4	30 MB
5. Transfer Learning.srt	SRT	5.3 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	MP4	60.1 MB
6. Inputting data part 3 Importing from CSV or Text files.srt	SRT	6.4 KB
6. PoolingLayer.mp4	MP4	46.9 MB
6. PoolingLayer.srt	SRT	5.1 KB
6. Project in R - Model Performance.mp4	MP4	23.2 MB
6. Project in R - Model Performance.srt	SRT	2.5 KB
7. Creating Barplots in R.mp4	MP4	96.7 MB
7. Creating Barplots in R.srt	SRT	13.4 KB
8. Creating Histograms in R.mp4	MP4	42 MB
8. Creating Histograms in R.srt	SRT	5.9 KB
Readme.txt	TXT	921.6 B
[GigaCourse.com].url	URL	0 B

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Udemy - CNN for Computer Vision with Keras and TensorFlow in R [GC]

Torrent Contents Size: 2.7 GB

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