Stanford Unsupervised Feature Learning and Deep Learning Tutorial
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Updated
Jun 7, 2014 - Python
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Different machine learning algorithms implementation in Tensorflow
Tutorial Materials for Deep Learning Basic Course
Deep Reinforcement Learning
Learnings in Cisco
A multilayer LSTM network with MXNet.
A translation of the deep learning book (翻译《深度学习》)
Key Pointers/ Exhaustive Notes for various Machine Learning Research Papers
Code Repository For Stanford's CS231n : Convolutional Neural Networks for Visual Recognition Assignments
Exercises that I wrote to supplement the Deep Learning (Goodfellow et al.) textbook during my read-through.
Code of de course of Deep Learning powered by Google on Udacity
A set of educational deep learning demos applied to the MNIST dataset
Deep learning demos using MNIST data set with multiple neural network models
Neural network from scratch in Python using Numpy
fast.ai Courses for deep learning beginners
Recurrent neural network, long short memery term model in image captioning.
Contains Machine Learning algorithms using TensorFlow and Deep Learning models