Neural Network Programming - Deep Learning with PyTorch

PyTorch Prerequisites - Syllabus for Neural Network Programming Course.
PyTorch Explained - Python Deep Learning Neural Network API.
PyTorch Install - Quick and Easy.
CUDA Explained - Why Deep Learning uses GPUs.
Tensors Explained - Data Structures of Deep Learning.
Rank, Axes, and Shape Explained - Tensors for Deep Learning.
CNN Tensor Shape Explained - Convolutional Neural Networks and Feature Maps.
PyTorch Tensors Explained - Neural Network Programming.
Creating PyTorch Tensors for Deep Learning - Best Options.
Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with PyTorch.
CNN Flatten Operation Visualized - Tensor Batch Processing for Deep Learning.
Tensors for Deep Learning - Broadcasting and Element-wise Operations with PyTorch.
Code for Deep Learning - ArgMax and Reduction Tensor Ops.
Dataset for Deep Learning - Fashion MNIST.
CNN Image Preparation Code Project - Learn to Extract, Transform, Load (ETL).
PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI.
Build PyTorch CNN - Object Oriented Neural Networks.
CNN Layers - PyTorch Deep Neural Network Architecture.
CNN Weights - Learnable Parameters in PyTorch Neural Networks.
Callable Neural Networks - Linear Layers in Depth.
How to Debug PyTorch Source Code - Deep Learning in Python.
CNN Forward Method - PyTorch Deep Learning Implementation.
CNN Image Prediction with PyTorch - Forward Propagation Explained.
Neural Network Batch Processing - Pass Image Batch to PyTorch CNN.
CNN Output Size Formula - Bonus Neural Network Debugging Session.
CNN Training with Code Example - Neural Network Programming Course.
CNN Training Loop Explained - Neural Network Code Project.
CNN Confusion Matrix with PyTorch - Neural Network Programming.
Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops.
TensorBoard with PyTorch - Visualize Deep Learning Metrics.
Hyperparameter Tuning and Experimenting - Training Deep Neural Networks.
Training Loop Run Builder - Neural Network Experimentation Code.
CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing.
PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase.
PyTorch on the GPU - Training Neural Networks with CUDA.
PyTorch Dataset Normalization - torchvision.transforms.Normalize().
PyTorch DataLoader Source Code - Debugging Session.
PyTorch Sequential Models - Neural Networks Made Easy.
Batch Norm in PyTorch - Add Normalization to Conv Net Layers.