Neural Networks Demystified [Part 1: Data and Architecture]

Name: Neural Networks Demystified [Part 1: Data and Architecture]
Description: The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.

Welch Labs

The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.

HN commenters point beginners to this series as one of the clearest short walkthroughs of how neural networks and backpropagation work.

4 Hacker News mentions · 2015–2018

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Machine learning & deep learning

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