Deep Learning - Computer Vision for Beginners Using PyTorch - LeNet Model in PyTorch

This video tutorial explains how to implement the LeNet architecture using PyTorch. It covers defining the class, initializing layers, and constructing convolution and dense networks. The tutorial also demonstrates the forward method, using torch.flatten, and predicting class labels with torch.max. The video concludes with a discussion on the absence of softmax and the importance of separating models for clarity.

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