Basic Neural Networks (Multi-Layer Perceptrons)

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Tags: Backpropagation, Gradient Descent Optimization

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

But What is a Neural Network?

  • By 3blue1brown


Neural Networks

  • A sequence of videos on neural networks by StatQuest

Code Examples

Neural Network in Python

  • A python example


Keras Multi-layer Perceptron

  • 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

APIs

Keras

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


Tensorflow

  • A popular open-source machine learning library


Pytorch

  • 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

Slides

Neural Networks

  • Slides by Shengyang Sun

Tagged Pages: Generative Adversarial Networks, Transformers

Know a great resource on Multi-layer Perceptrons? Send it to us at contactbackprop@gmail.com!