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9. Understanding torch.nn
torch.nn.Dropout explained
Batch Norm vs Layer Norm - Explained
Working through What is torch.nn really
torch.nn.ConvTranspose2d Explained
nn.BatchNorm2d in PyTorch (mistake pointed in description)
Batch normalization | What it is and how to implement it
torch.nn.LayerNorm Explained
torch.nn.Linear Module explained
Create a Basic Neural Network Model - Deep Learning with PyTorch 5
torch.nn.RNN Module explained
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Last Updated: October 17, 2026
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Summary
Let's discuss batch normalization, otherwise known as batch norm, and show how it applies to training artificial neural networks. This video explains how the Batch Norm works and also how Pytorch takes care of the dimension. Having a good understanding ... Batch normalization made deep networks trainable back in 2015 — yet every transformer throws it out and uses layer ... In this livestream, W&B Deep Learning Educator Charles Frye will get deep into the "What is A numerical Example of ConvTranspose2d that is usually used in Generative adversarial Nueral Networks. This video goes step ... In this video, we will learn about Batch Normalization. Batch Normalization is a secret weapon that has the power to solve many ... In this video we'll start to build a very basic Neural Network using Pytorch and Python. We'll eventually use the Iris dataset to ...