neural nets lectures collection

publications, news, lectures, amazing projects

Andrej Karpathy: Hacker’s guide to Neural Networks

Jason Brownlee:Develop Your First Neural Network in Python With Keras Step-By-Step

Neural network with numpy

Unsupervised Sentiment Neuron

Tinker With a Neural Network Right Here in Your Browser

A Neural Network in 11 lines of Python (Part 1)

recent, NNs, RNNs, CNNs, visualizing,

Karpathy: ConvNetJS, Deep Learning in your browser

recurrent RNN

The Unreasonable Effectiveness of Recurrent Neural Networks

CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM

Karpathy: vanilla RNN, github

A Beginner’s Guide to Recurrent Networks and LSTMs

Colah Deep Learning, NLP, and Representations

Creating A Text Generator Using Recurrent Neural Network,

Hyper Networks

A Gentle Introduction to RNN Unrolling

Recurrent Neural Networks with Word Embeddings

Neural Networks for Machine Learning, Toronto University

Computational Neuroscience, Washington University

Brandon Rohrer: Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)

RNNs in Darknet

the Semicolon: Recurrent Neural Networks (RNN / LSTM )with Keras

Build a Recurrent Neural Net in 5 Min


CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM

Colah’s blog on RNNs and LSTMs

Chapter 10 Sequence Modeling: Recurrent and Recursive Nets

Text Generation With LSTM Recurrent Neural Networks in Python with Keras

Encoder-Decoder Long Short-Term Memory Networks

Long Short-Term Memory Networks With Python

develop an Encoder-Decoder Model with Attention for Sequence-to-Sequence Prediction in Keras

Mini-Course on Long Short-Term Memory Recurrent Neural Networks with Keras

Sequence Models and Long-Short Term Memory Networks

convolutional CNN

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

Stanford Uni lecture collection

Karpathy: ConvNetJS, Deep Learning in your browser

Luis Serrano , A friendly introduction to Convolutional Neural Networks and Image Recognition

Brandon Rohrer , How Convolutional Neural Networks work,

Convolutional Neural Networks

Deep Learning Lecture 10: Convolutional Neural Networks, Oxford,

Very Deep Convolutional Networks for Large-Scale Visual Recognition

Deep Learning in a Nutshell: Core Concepts

Luis Serrano: A friendly introduction to Convolutional Neural Networks and Image Recognition

Brandon Rohrer: How Convolutional Neural Networks work

Convolutional Neural Networks (CNN) in Keras – Python – a list

style transfer with CNN

AI Learns Semantic Style Transfer | Two Minute Papers #177

Convolutional neural networks for artistic style transfer

style transfer with CNNs


How to Do Style Transfer with Tensorflow (LIVE)

A Neural Algorithm of Artistic Style, Leon A. Gatys

Julia Evans

style transfer apps

Pikazo uses AI to combine any two images into a new work of art

Turn any photo into an artwork – for free!

Free video editor app with art filters and photo effects

AI Powered Art Styles for photo and video

generative adversarial GAN papers

Jiwei Li, Dan Jurafsky, Adversarial Learning for Neural Dialogue Generation

Zhen Yang, Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

Ishaan Gulrajani, Wasserstein GAN (WGAN) makes progress toward stable training of GANs

Xuerong Xiao, Text Generation using GANs

Adversarial Examples in NLP Contexts

Ian Goodfellow, inventor of GANs

four projects that share a common theme of enhancing or using generative models

An introduction to Generative Adversarial Networks (with code in TensorFlow)

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

github: pyTorch implementation