torch.nn.Linear: Complete Guide
A comprehensive tutorial covering PyTorch's Linear layer (nn.Linear), from basic concepts to advanced usage patterns. Learn how to effectively use linear transformations in your neural networks with practical examples and best practices.
📚 Chapters:
00:00 - torch.nn.Linear: Complete Guide
01:00 - Architecture Overview
01:39 - Multi-Dimensional Input Support
02:07 - Basic Example - Simplest Usage
03:20 - Parameter Documentation
03:49 - Parameter Exploration
05:57 - Core Features - Multi-Dimensional Inputs
08:36 - Gradient Flow and Training
09:49 - Practical Application - Building a Simple MLP
11:15 - Advanced Usage - Custom Initialization and Weight Sharing
13:02 - Best Practices and Summary
