Machine Learning
445 learners
Introduction 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.
Python
PyTorch
5 lessons
25 practices
3 hours
Deep Learning and Neural Networks
Lessons and practices
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
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