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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