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 datadan.io
AI building blocks - from scratch with Python - Data Dan
| | michael-lewis.com
A machine learning glossary for hackers · Michael I Lewis
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | initialcommit.com
Best Machine Learning Toolkits for Python in 2021
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| | Here, we'll discuss four of the most popular machine learning toolkits for Python. To provide a comparison between these different toolkits, we will demonstrate training a neural network on the Iris dataset a very simple dataset that is popular in the machine learning space.
| | dennybritz.com
Implementing a Neural Network from Scratch in Python · Denny's Blog
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| | All the code is also available as an Jupyter notebook on Github.
| | www.paepper.com
Training a neural network with Numpy :: Päpper's Machine Learning Blog - This blog features state of the art applications in ...
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| [AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization.