Deep Learning - Computer Vision for Beginners Using PyTorch - Writing a Custom NN Module

The video tutorial explains how to write simple models using linear operations and activations, and introduces the concept of subclassing the NN module for more complex models. It details the use of the Torch NN module to implement various layers and entire neural networks. The tutorial covers subclassing the NN module, overriding the init and forward methods, and implementing a custom class. Finally, it completes the model definition and discusses executing the code to achieve the same results as before.

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