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Explore PyTorch's computational graph and visualization techniques in this informative tutorial video. Learn to build a neural network using the Fashion-MNIST dataset, understand the advantages of ReLU over Sigmoid as an activation function, and master PyTorchViz for visualizing deep learning networks. Gain insights into backward propagation and gradient functions while following along with practical examples. For those new to object-oriented programming in Python, additional resources are provided to enhance your understanding of the concepts presented.
