## Latest news

## Asynchronous Methods for Deep Reinforcement Learning

at arxiv.org▼## Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig:

at www.youtube.com▼2 up and 0 down, posted by

## Deep Learning in a Nutshell part 3: Sequence Learning

at devblogs.nvidia.com▼## AlphaGo currently 1-0 against Lee Sedong in the DeepMind challenge match

at deepmind.com▼## Understanding Aesthetics with Deep Learning

at devblogs.nvidia.com▼## Asynchronous Methods for Deep Reinforcement Learning

at arxiv.org▼## Using Deep Q-Learning to Control Optimization Hyperparameters

at arxiv.org▼## AlphaGo: Google DeepMind's Go program beats professional player

at googleblog.blogspot.be▼## Microsoft CNTK framework released on GitHub

at blogs.microsoft.com▼## Which whale is it, anyway? Face recognition for right whales using deep learning

at deepsense.io▼## Baidu’s AI Lab Releases Warp-CTC

at github.com▼## Intel's Caffe fork to improve performance

at github.com▼## Evaluation of Deep Learning Toolkits

at github.com▼## Startup.ML Deep Learning Conference Videos

at conf.startup.ml▼## Deep-Spying: Spying using Smartwatch and Deep Learning

at arxiv.org▼## Very simple and clear Word2vec Tutorial

at www.youtube.com▼## Deep Learning course on YouTube

at uwaterloo.ca▼## Interview with Deep Learning Expert Ilya Sutskever of Google Brain & OpenAI

at re-work.co▼1 up and 1 down, posted by

## Deep Learning in a Nutshell part 2: History and Training

at devblogs.nvidia.com▼## Optimizing Warehouse Operations with Machine Learning on GPUs

at devblogs.nvidia.com▼## Introducing OpenAI

at openai.com▼## Facebook to open-source AI hardware design

at code.facebook.com▼## Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

at arxiv.org▼## Join us at Quantcon April 9, 2016 in NYC

at quantcon.com▼## Infinite Dimensional Word Embeddings

at arxiv.org▼## Interview with deep learning expert Andrej Karpathy

at re-work.co▼1 up and 1 down, posted by

## Simplified interface for TensorFlow (mimicking Scikit Learn)

at github.com▼## Towards Principled Unsupervised Learning

at arxiv.org▼## Deep Neural Decision Forests

at research.microsoft.com▼## Distributed Machine Learning Tookit from MS

at github.com▼## Play go against a computer trained with CNN

at chrisc36.github.io▼## TensorFlow is an Open Source Software Library for Machine Intelligence

at tensorflow.org▼## Neural Abstraction Pyramid to Semantic RGB-D Perception

at www.youtube.com▼3 up and 0 down, posted by

## Computer, respond to this email.

at googleresearch.blogspot.co.uk▼## Deep Learning in a Nutshell: Core Concepts

at devblogs.nvidia.com▼## Thought Vectors, Deep Learning & the Future of AI

at deeplearning4j.org▼## Deep Minds: An Interview with Google's Alex Graves & Koray Kavukcuoglu #reworkDL

at re-work.co▼1 up and 0 down, posted by

## Deep Learning for Computer Vision with MATLAB and cuDNN

at nvda.ly▼## Yann LeCun - Obstacles on the path to AI

at drive.google.com▼## Training (deep) Neural Networks Part: 1

at upul.github.io▼## Convolutional neural networks and feature extraction with Python

at blog.christianperone.com▼## OpenFace: Face recognition with Google's FaceNet deep neural network

at github.com▼## Roelof Pieters: Python for image and text understanding; One model to rule them all!

at youtu.be▼## Accelerated Understanding: Deep learning Intelligent Applications and GPUs

at youtu.be▼## REINFORCEjs, Reinforcement Learning library that implements common RL algorithms. Maintained by @karpathy.

at cs.stanford.edu▼## A Primer on Neural Network Models for Natural Language Processing

at u.cs.biu.ac.il▼## Recurrent Neural Networks Tutorial – Implementing a RNN with Python, Numpy and Theano

at www.wildml.com▼## Learning Concept Embeddings with Combined Human-Machine Expertise

at arxiv.org▼## Deep Learning Machine Learning 10-715 Fall 2015, Alex Smola

at youtu.be▼## Interviews with interesting stakeholders of the data science field!

at datainterviews.com▼## Google voice search: faster and more accurate

at googleresearch.blogspot.com▼## DeepSat – A Learning framework for Satellite Imagery

at arxiv.org▼## Training Neural Networks: Q&A with Ian Goodfellow, Google

at re-work.co▼1 up and 1 down, posted by

## View jobs listings for Deep Learning, Machine Learning, AI and Data Science at Baidu, Google, Clarifai & more

at www.linkedin.com▼1 up and 1 down, posted by

## A New Approach for Training Deep Models in Unsupervised Learning

at re-work.co▼1 up and 1 down, posted by

## VideoLectures from the Deep Learning Summer School, Montreal 2015

at videolectures.net▼## Deeplearning4j on Spark

at deeplearning4j.org▼## 26 Things I Learned in the Deep Learning Summer School

at www.marekrei.com▼## Curated list of neural network papers

at github.com▼## Deep Learning Libraries by Language

at www.teglor.com▼## Nice talk by Jürgen Schmidhuber on RNNs and Reinforcement Learning

at www.computervisiontalks.com▼1 up and 1 down, posted by

## A Neural Algorithm of Artistic Style

at medium.com▼## Convolutional Neural Networks, Yann LeCun @ Hot Chips 2015

at youtu.be▼## A Beginner’s Guide to Recurrent Networks and LSTMs

at deeplearning4j.org▼## Inferring Algorithmic Patterns with Stack-RNN

at research.facebook.com▼## A Github repo on Deep Learning - Summer 2015

at github.com▼## An artificial neural network that attempts to impersonate the writing style of any given text training set

at github.com▼## job listings from an RNN

at jblkacademic.wordpress.com▼## Mocha.jl: Deep Learning for Julia

at devblogs.nvidia.com▼## Calculus on Computational Graphs: Backpropagation

at colah.github.io▼## A Neural Algorithm of Artistic Style

at arxiv.org▼## JavaScript for Distributed Deep Learning

at arxiv.org▼## Number of A.I. publications by country (dataviz) - China publishes a lot, North America is very "productive"

at raw.githubusercontent.com▼## Partitioning Large Scale Deep Belief Networks Using Dropout

at arxiv.org▼## Caffe2 an experimental refactoring of Caffe

at github.com▼## Understanding LSTM Networks

at colah.github.io▼## ICLR 2016 will be held May 2-4, 2016 in San Juan, Puerto Rico

at www.iclr.cc▼## Reasoning, Attention, Memory (RAM) NIPS Workshop 2015

at www.thespermwhale.com▼## Lectures from deep learning summer school

at sites.google.com▼## Wyoming Evolving AI Lab on Visualizing--and Fooling--Deep Neural Networks

at devblogs.nvidia.com▼## CNNs in image compression (and some great graphics)

at engineering.flipboard.com▼## Learning to Execute RNN/LSTM

at arxiv.org▼## Neural Language Modeling with Characters

at github.com▼## A beginner's guide to eigenvectors, covariance and entropy

at deeplearning4j.org▼## Thingscoop: Utility for searching and filtering videos based on their content

at github.com▼## more deep learning on music generation

at highnoongmt.wordpress.com▼3 up and 0 down, posted by

## eBay SXSW: Hassan Sawaf preview

at vimeo.com▼## Great course on Deep Learning for Natural Language Processing (Stanford CS224d)

at cs224d.stanford.edu▼## Google Voice trained with RNNs

at googleresearch.blogspot.com▼## Baidu explains how it’s mastering Mandarin with deep learning

at medium.com▼## Getting Started with DIGITS interactive training system for image classification

at on-demand.gputechconf.com▼## Real-Time Pedestrian Detection With Deep Networks Cascades

at static.googleusercontent.com▼## Deep learning of the tissue-regulated splicing code

at www.psi.toronto.edu▼## Labellio: Scalable Cloud Architecture for Efficient Multi-GPU Deep Learning

at devblogs.nvidia.com▼## Medical symptom deep learning from Baidu

at recode.net▼## Semi-Supervised Learning with Ladder Network

at arxiv.org▼## Composing Music With Recurrent Neural Networks

at www.hexahedria.com▼4 up and 0 down, posted by