aadimangla/Custom-Trained-Recurrent-Neural-Network

Using high-level frameworks like Keras, TensorFlow or PyTorch allows us to build very complex models quickly. However, it is worth taking the time to look inside and understand underlying concepts. Not so long ago I published an article, explaining — in a simple way — how neural nets work. However, it was a highly theoretical post, dedicated primarily to math, which is the source of the NN superpower. From the beginning, I was planning to follow-up on this topic in a more practical way. This time we will try to utilize our knowledge and build a fully operational neural network using only NumPy.

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