Neural Networks (Multi-Layer Perceptrons)

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Lectures

Introduction to Neural Networks

Lecture from Stanford Machine Learning Course

MIT Introduction to Deep Learning

Lecture on many foundational ideas for neural networks

Videos

By 3blue1brown

A sequence of videos on neural networks by StatQuest

Code Examples

A python example

A keras example

Multi-layer Perceptron with Pytorch

A tutorial in Pytorch

Courses

Neural Networks and Deep Learning

The famous Coursera course by Andrew Ng

Part of the Deep Learning Specialization

Textbook Sections

Neural Networks and Deep Learning

A free online textbook by Michael Nielsen

Deep Feedforward Networks | Deep Learning Chapter 6

Chapter on basic neural networks

APIs

A simple, high-level API for building Neural Networks on top of Tensorflow

A popular open-source machine learning library

A popular open-source machine learning library based on the torch library

Scikit-Learn Multi-layer Perceptron API

A simple API for basic neural networks

Tagged Pages: Convolutional Neural Networks, Dropout, Generative Adversarial Networks, Recurrent Neural Networks, Transformers

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