I am a newbie at deep learning. I came so watching many tutorials, reading some articles on implementing neural networks with hidden layers. But all the tutorials seem to TensorFlow, Pytorch, or something else. I have a concept of SGD,MB SGD, chain rule, linear algebra. I know how to calculate the gradients for the hidden layer and how to update the weights. But I could not be able to implement it in my own code.
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