Implement a Neural Network from Scratch with NumPy
Last Updated on July 24, 2023 by Editorial Team
Author(s): Dorian Lazar
Originally published on Towards AI.
Background image source: Wikimedia Commons
I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through this article. I will create a neural network class, and I want to design it in such a way to be more flexible. I do not want to hardcode in it a specific activation or loss functions, or optimizers (that is SGD, Adam, or other gradient-based methods). I will design it to receive these from outside the class so that one can just take the class’s code… Read the full blog for free on Medium.
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