Summary of Introduction to Coding Neural Networks with PyTorch and Lightning

00:00:00 - 00:20:00

This video introduces the basics of coding neural networks with PyTorch and Lightning. PyTorch is a powerful framework for building neural networks, while Lightning makes training them much easier. Together, they make it possible to train neural networks much faster.

• 00:00:00 This video introduces the basics of coding neural networks with PyTorch and Lightning. PyTorch lets you do awesome things with neural networks, while Lightning lets you do these things more easily. Together, they make training neural networks much easier.
• 00:05:00 This video explains how to code a neural network using PyTorch and Lightning. First, the video explains how to create a new class that initializes weights and biases. Next, the video demonstrates how to run input values through the neural network and print out the output values. Lastly, the video shows how to use a Lightning function to improve the learning rate.
• 00:10:00 This 1-minute video introduces coding for neural networks with PyTorch and Lightning. PyTorch code for optimizing b sub final is simplified with the addition of a Lightning Trainer. The new learning rate is printed out.
• 00:15:00 This video introduces PyTorch and Lightning, and explains how these frameworks can be used to speed up neural network training on a single CPU. PyTorch with Lightning allows for automatic detection and usage of GPUs, which makes training on a single CPU much faster.
• 00:20:00 This video introduces coding neural networks with PyTorch and Lightning.