Understanding multi-class classification using Feedforward Neural Network is the foundation for most of the other complex and domain specific architecture. However often most lectures or books goes through Binary classification using Binary Cross Entropy Loss in detail and skips the derivation of the backpropagation using the Softmax Activation.In this Understanding and implementing Neural Network with Softmax in Python from scratch we will go through the mathematical derivation of the backpropagation using Softmax Activation and also implement the same using python from scratch.
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