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  1. Data Science and Machine Learning Neural Network (Part 02): Feed forward NN Architectures Design

    by , 08-27-2022 at 01:37 AM
    In the prior article, we discussed the basics of a neural network and build a very basic and static MLP, but we know in real-life applications we are not going to need a simple 2 inputs and 2 hidden layers nodes in the network to the output, something we built last time.
    My point is that we need something dynamic. A dynamic code that we can change the parameters and optimize without breaking the program. If you use python-keras library to build a neural network you will have to do