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You are here		michael-lewis.com A machine learning glossary for hackers · Michael I Lewis
|	|	blog.scottlogic.com The basics of the Layered Neural Network	0.9 parsecs away Travel
|	|	Recently I've been learning about Neural Networks and how they work. In this blog post I write a simple introduction in to some of the core concepts of a basic layered neural network.
|	|	adl1995.github.io An overview of activation functions used in neural networks	0.7 parsecs away Travel
|	|	[AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions.
|	|	datadan.io AI building blocks - from scratch with Python - Data Dan	0.9 parsecs away Travel
|	|	Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand.
|	|	research-software-directory.org QMCTorch | Research Software Directory	8.0 parsecs away Travel
|		Use and design neural network ansatz wave function for real-space quantum Monte Carlo simulations of molecular systems.

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