towards data science

Activation Functions & Non-Linearity: Neural Networks 101 | by Egor Howell | Oct, 2023

Explaining why neural networks can learn (nearly) anything and everything Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-was-inspired-by-neural-networks-used-in-deep-learning-it-was-created-by-novoto-studio-as-part-of-the-visualising-ai-pr-17483874/ In my previous article, we introduced the multi-layer perceptron (MLP), which is just a set of stacked interconnected perceptrons. I […]