## Latest news

## Wide & Deep Learning: Better Together with TensorFlow

at research.googleblog.com▼## 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

at arxiv.org▼## End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning

at arxiv.org▼## Deep Reinforcement Learning, tutorial by David Silver, Google DeepMind

at icml.cc▼## Symposium: Deep Learning - Panel

at www.youtube.com▼## Object detection in the wild by Faster R-CNN + ResNet-101

at youtu.be▼## Successor Features for Transfer in Reinforcement Learning

at arxiv.org▼## Fast Recurrent Networks Library from Baidu

at github.com▼## OpenAI & Generative Models

at openai.com▼1 up and 0 down, posted by

## Learning Convolutional Neural Networks for Graphs

at arxiv.org▼## Conditional Image Generation with PixelCNN Decoders

at arxiv.org▼## Convolution by Evolution: Differentiable Pattern Producing Networks

at arxiv.org▼## Game Theory with Learning for Cyber Security Monitoring

at publish.illinois.edu▼## Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning

at github.com▼## OpenAI: Requests for Research

at openai.com▼## Reinforcement Learning Course by David Silver

at youtu.be▼## DeepText: Facebook's text understanding engine

at code.facebook.com▼## Deep Reinforcement Learning: Pong from Pixels

at karpathy.github.io▼3 up and 0 down, posted by

## FractalNet: Ultra-Deep Neural Networks without Residuals

at arxiv.org▼## Formulation of Adversarial ML

at conf.startup.ml▼## Batch Normalized Recurrent Neural Networks

at arxiv.org▼## Freeze-Thaw Bayesian Optimization

at arxiv.org▼## Recurrent Reinforcement Learning: A Hybrid Approach

at arxiv.org▼## Deep Scalable Sparse Tensor Network Engine (DSSTNE) an Amazon developed library for Deep Learning

at github.com▼## Google TPU custom chip

at cloudplatform.googleblog.com▼## The Good, Bad, & Ugly of TensorFlow

at indico.io▼## Stanford CS188 AI

at www.youtube.com▼## Adversarial Machine Learning Conference Sep 10 / SF / fraud, security, AML and KYC

at conf.startup.ml▼## Artificial Neural Networks in NetLogo

at www.cs.us.es▼## Train Your Reinforcement Learning Agents at the OpenAI Gym

at devblogs.nvidia.com▼## Deep Learning: Now & Beyond - Q&A with Hugo Larochelle, Research Scientist at Twitter Cortex

at re-work.co▼2 up and 1 down, posted by

## Tinker With a Neural Network Right Here in Your Browser

at playground.tensorflow.org▼## Benchmarking Deep Reinforcement Learning for Continuous Control

at arxiv.org▼## TensorFlow: Large-Scale Machine Learning on Distributed Systems (2015)

at download.tensorflow.org▼## 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