Compare the performance of your custom back-propagation

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Question: Implement the back-propagation algorithm from scratch using only PyTorch tensor operations (do not call PyTorch backward function). Train the scratch implemented model with the settings as(epochs=60, learning rate=0.0003) and generate graphs depicting the loss and accuracy for training, validation, and testing. Also include sigmoid activation function.

Compare theperformance of your custom back-propagation algorithm with PyTorch's implementation and provide a reporton the results.

Reference no: EM133678040

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