Coding A Neural Network From Scratch in NumPy
<p>In this article, I will walk through the development of an artificial neural network from scratch using NumPy. The architecture of this model is the most basic of all ANNs — a simple feed-forward network. I will also show the <a href="https://keras.io/" rel="noopener ugc nofollow" target="_blank">Keras</a> equivalent of this model, as I tried to make my implementation ‘Keras-esque’. Although the feed-forward architecture is basic compared to other neural networks such as transformers, these core concepts can be extrapolated to build more complex ANNs. These topics are inherently technical. For a more conceptual article on AI please check out my other</p>
<p><a href="https://towardsdatascience.com/coding-a-neural-network-from-scratch-in-numpy-31f04e4d605"><strong>Read More</strong></a></p>