Comprehensive Introduction to PyTorchIntroduction to PyTorch Tensors

Step into the world of PyTorch, a leading library for deep learning and neural network development. This beginner-oriented course introduces the foundational building blocks of PyTorch, emphasizing tensors and their pivotal role in constructing neural networks. Through practical examples and exercises, you'll develop the skills to start building and experimenting with tensors in PyTorch.

Running Your First PyTorch Tensor Program

Modifying Tensors in PyTorch

Fixing Bugs in Tensor Creation

Creating and Inspecting Tensors

Implementing a PyTorch Tensor

Running Various Tensor Operations in PyTorch

Switching to Matrix Multiplication in PyTorch

Fixing Matrix Multiplication in PyTorch

Complete the Broadcasted Operations

Mastering PyTorch Tensor Operations

Running Tensor Reshaping and Flattening Code in PyTorch

Reshaping Tensor Dimensions in PyTorch

Fixing Tensor Reshaping Mistake

Flattening Tensors in PyTorch

Mastering Tensor Manipulations in PyTorch

Batch and Shuffle Data with PyTorch

Adjust Batch Size in DataLoader

Fix Data Loading Code

Batching and Shuffling with DataLoader

Creating Batched TensorDatasets

Running Neural Network Layers in PyTorch

Adjust Linear Layer Dimensions

Fix Linear Layer Usage

Defining and Applying Activation Functions in PyTorch

Processing Tensors with Neural Networks