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5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 218.5 MB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 200.1 MB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 197.9 MB
11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 194.8 MB
11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 193.2 MB
3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 186.1 MB
6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 184.8 MB
5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 183.3 MB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 178.3 MB
6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 174.4 MB
7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 173.6 MB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 172.8 MB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 171.8 MB
5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 170.6 MB
11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 169.4 MB
4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 168.9 MB
5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 168.6 MB
8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 168.5 MB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 168.4 MB

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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
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lesson246.mp4 122.0 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
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lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
lesson253.mp4 122.5 MB
lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
lesson253.mp4 122.5 MB
lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
lesson52.mp4 104.3 MB
lesson169.mp4 103.3 MB
lesson201.mp4 103.1 MB
lesson239.mp4 102.9 MB
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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB

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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB

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【影视】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence

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19. Setting up your Environment (FAQ by Student Request)/3. Anaconda Environment Setup.mp4 365.3 MB
19. Setting up your Environment (FAQ by Student Request)/4. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 227.1 MB
19. Setting up your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 220.4 MB
8. Natural Language Processing (NLP)/7. Text Classification with LSTMs (V2).mp4 185.4 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 168.4 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 157.1 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 154.5 MB
5. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4 149.3 MB
4. Machine Learning and Neurons/9. Classification Notebook.mp4 147.3 MB
9. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).mp4 133.7 MB
3. Google Colab/2. Uploading your own data to Google Colab.mp4 133.0 MB
4. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 132.8 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 124.8 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 115.8 MB
5. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 108.9 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code Yourself (part 1).mp4 108.7 MB
10. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 104.8 MB
9. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4 101.7 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 96.2 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).mp4 94.6 MB

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18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4 189.5 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.5 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
1. Introduction/2. Overview and Outline.mp4 83.5 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.7 MB
3. Machine Learning and Neurons/10. Classification Notebook.mp4 82.1 MB

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【影视】 PyTorch-Deep Learning and Artificial Intelligence [updated]

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[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB

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PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB

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[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/004 Create Convolutional Neural Network model.mp4 653.3 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/002 Load datase.mp4 497.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/008 Analize model on test dataset and metrics.mp4 404.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/006 Train model_ train dataset.mp4 368.5 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/007 Train model_ validation dataset.mp4 346.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/007 Overview of Convolutional Layer.mp4 338.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/003 Visualize data.mp4 228.0 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/012 Practical view of training a Neural Network.mp4 218.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/011 Mathematical view of training a Neural Network.mp4 216.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/004 Mathematical view of General Neural Networks.mp4 157.2 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/002 What is a Neural Network_.mp4 153.7 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/013 Train with batches.mp4 133.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/009 Practical advices about training.mp4 106.9 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/001 Practical example presentation.mp4 94.5 MB
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