Deep Learning

• Complete Guide to TensorFlow for Deep Learning with Python Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

• Deep Learning Specialization If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

• Deep Learning with Python and Keras Understand and build Deep Learning models for images, text and more using Python and Keras

• Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.

• Deep Learning A-Z™: Hands-On Artificial Neural Networks Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

• Natural Language Processing with Deep Learning in Python Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets.

• Deep Learning by Andrew Ng (Coursera) Become a Deep Learning experts. Master Deep Learning and Break into AI.

• IBM Data Science Professional Certificate (Coursera) Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.

• Deep Learning by IBM (edX) This program is intended to prepare learners and equip them with skills required to become successful AI practitioners and start a career in applied Deep Learning.

• Data Science by Harvard University (edX) Throughout the program, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. We believe that you can better retain R knowledge when you learn how to solve a specific problem.

• Microsoft Professional Program in Data Science (edX) Microsoft courses found here can be audited free or students can choose to receive a verified certificate for a small fee.

• fast.ai - Practical Deep Learning For Coders This course is to make deep learning accessible to as many people as possible. The only prerequisite is that you know how to code (a year of experience is enough), preferably in Python, and that you have at least followed a high school math course.

• fast.ai - Cutting Edge Deep Learning For CA curated list of awesome Deep Learning tutorials, projects and communities A curated list of awesome Deep Learning tutorials, projects and communities.

• Deep Learning Papers Reading Roadmap The roadmap is constructed in accordance with the following four guidelines:

  • From outline to detail

  • From old to state-of-the-art

  • from generic to specific areas

  • focus on state-of-the-art

• Lots of Deep Learning ResourcInteresting Deep Learning and NLP Projects (Stanford), WebsCore Concepts of Deep Learning Parallel Forall that aims to provide an intuitive and gentle introduction to deep learning.

• Understanding Natural Language with Deep Neural Networks Using Torch Language is the medium of human communication. Giving machines the ability to learn and understand language enables products and possibilities that are not imaginable today.

• Stanford Deep Learning Tutorial his tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning.

• Deep Learning FAQs on Quor​Google+ Deep Learning Where to Learn Deep Learning Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.

• Introduction to Deep Learning Using Python (GitHub), Introduction to Deep Learning and resources to get started

• Video Lectures Oxford 2015, Video Lectures Summer School MontrealDeep Learning Software ListTop arxiv Deep Learning Papers explained Top deep learning papers on arXiv are presented, summarized, and explained with the help of a leading researcher in the field.

• Geoff Hinton Youtube Vidoes on Deep Learning​Awesome Deep Learning Reading List

• deeplearning Tutorials Open-source, distributed, deep learning library for the JVM

• AWESOME! Deep Learning Tutorial This tutorial will introduce you to the key concepts and algorithms behind deep learning, beginning with the simplest unit of composition and building to the concepts of machine learning in Java.

• Deep Learning BasicIntuition Behind Backpropagation Breaking down Neural Networks: An intuitive approach to Backpropagation.

• Stanford Tutorials Multi-Layer Neural Network.

• Train, Validation & Test in Artificial Neural Networks Difference between train, validation and test set, in neural networks.

• Artificial Neural Networks Tutorials Good resources for learning about Artificial Neural Networks.

• Neural Networks FAQs on Stack Overflow Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations thereof.

• Deep Learning Tutorials on deeplearning.net​Neural Networks and Deep Learning Online Book Neural Networks and Deep Learning is a free online book. The book will teach you about:

  • Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data

  • Deep learning, a powerful set of techniques for learning in neural networks

• Neural Machine Translation

  • Machine Translation Reading List This is a machine translation reading list maintained by the Tsinghua Natural Language Processing Group.

  • Introduction to Neural Machine Translation with GPUs (part 1), Part 2, Part 3 Neural machine translation is a recently proposed framework for machine translation based purely on neural networks

  • Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learni. ​

• Deep Learning Frameworks

  • Torch vs. Theano Recently we took a look at Torch 7 and found its data ingestion facilities less than impressive. Torch’s biggest competitor seems to be Theano, a popular deep-learning framework for Python.

  • dl4j vs. torch7 vs. theano​Deep Learning Libraries by Language Curated list of deep Learning Libraries by Language.

  • Theano

    • Website

    • Theano Introduction

    • Theano Tutorial

    • Good Theano Tutorial

    • Logistic Regression using Theano for classifying digits

    • MLP using Theano

    • CNN using Theano

    • RNNs using Theano

    • LSTM for Sentiment Analysis in Theano

    • RBM using Theano

    • DBNs using Theano

    • All Codes

    • Deep Learning Implementation Tutorials - Keras and Lasagne

  • Torch

    • Torch ML Tutorial, Code

    • Intro to Torch

    • Learning Torch GitHub Repo

    • Awesome-Torch (Repository on GitHub)

    • Machine Learning using Torch Oxford Univ, Code

    • Torch Internals Overview

    • Torch Cheatsheet

    • Understanding Natural Language with Deep Neural Networks Using Torch

  • Caffe

    • Deep Learning for Computer Vision with Caffe and cuDNN

  • TensorFlow

    • Website

    • TensorFlow Examples for Beginners

    • Stanford Tensorflow for Deep Learning Research Course

      • GitHub Repo

    • Simplified Scikit-learn Style Interface to TensorFlow

    • Learning TensorFlow GitHub Repo

    • Benchmark TensorFlow GitHub

    • Awesome TensorFlow List

    • TensorFlow Book

    • Android TensorFlow Machine Learning Example

      • GitHub Repo

    • Creating Custom Model For Android Using TensorFlow

      • GitHub Repo

• Feed Forward Networks

  • A Quick Introduction to Neural Networks

  • Implementing a Neural Network from scratch, Code

  • Speeding up your Neural Network with Theano and the gpu, Code

  • Basic ANN Theory

  • Role of Bias in Neural Networks

  • Choosing number of hidden layers and nodes,2,3

  • Backpropagation in Matrix Form

  • ANN implemented in C++ | AI Junkie

  • Simple Implementation

  • NN for Beginners

  • Regression and Classification with NNs (Slides)

  • Another Intro

• Recurrent and LSTM Networks

  • awesome-rnn: list of resources (GitHub Repo)

  • Recurrent Neural Net Tutorial Part 1, Part 2, Part 3, Code

  • NLP RNN Representations

  • The Unreasonable effectiveness of RNNs, Torch Code, Python Code

  • Intro to RNN, LSTM

  • An application of RNN

  • Optimizing RNN Performance

  • Simple RNN

  • Auto-Generating Clickbait with RNN

  • Sequence Learning using RNN (Slides)

  • Machine Translation using RNN (Paper)

  • Music generation using RNNs (Keras)

  • Using RNN to create on-the-fly dialogue (Keras)

  • Long Short Term Memory (LSTM)

    • Understanding LSTM Networks

    • LSTM explained

    • Beginner’s Guide to LSTM

    • Implementing LSTM from scratch, Python/Theano code

    • Torch Code for character-level language models using LSTM

    • LSTM for Kaggle EEG Detection competition (Torch Code)

    • LSTM for Sentiment Analysis in Theano

    • Deep Learning for Visual Q&A | LSTM | CNN, Code

    • Computer Responds to email using LSTM | Google

    • LSTM dramatically improves Google Voice Search, Another Article

    • Understanding Natural Language with LSTM Using Torch

    • Torch code for Visual Question Answering using a CNN+LSTM model

    • LSTM for Human Activity Recognition

  • Gated Recurrent Units (GRU)

    • LSTM vs GRU

  • Time series forecasting with Sequence-to-Sequence (seq2seq) rnn models

• Recursive Neural Network (not Recurrent)

  • Recursive Neural Tensor Network (RNTN)

  • word2vec, DBN, RNTN for Sentiment Analysis

• Restricted Boltzmann Machine

  • Beginner's Guide about RBMs

  • Another Good Tutorial

  • Introduction to RBMs

  • Hinton's Guide to Training RBMs

  • RBMs in R

  • Deep Belief Networks Tutorial

  • word2vec, DBN, RNTN for Sentiment Analysis

• Autoencoders: Unsupervised (applies BackProp after setting target = input)

  • Andrew Ng Sparse Autoencoders pdf

  • Deep Autoencoders Tutorial

  • Denoising Autoencoders, Theano Code

  • Stacked Denoising Autoencoders

• Convolutional Neural Networks

  • An Intuitive Explanation of Convolutional Neural Networks

  • Awesome Deep Vision: List of Resources (GitHub)

  • Intro to CNNs

  • Understanding CNN for NLP

  • Stanford Notes, Codes, GitHub

  • JavaScript Library (Browser Based) for CNNs

  • Using CNNs to detect facial keypoints

  • Deep learning to classify business photos at Yelp

  • Interview with Yann LeCun | Kaggle

  • Visualising and Understanding CNNs

• Network Representation Learning

  • Awesome Graph Embedding

  • Awesome Network Embedding

  • Network Representation Learning Papers

  • Knowledge Representation Learning Papers

  • Graph Based Deep Learning Literature