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Matt Kuenzel

Discussion  - 
 
Neural Programmer-Interpreters
Scott Reed, Nando de Freitas

OK, they "trained" this network by showing it the desired step-by-step behavior. Why is it impressive that it learns to repeat those steps?
Abstract: We propose the neural programmer-interpreter (NPI): a recurrent and compositional neural network that learns to represent and execute programs. NPI has three learnable components: a task-agnostic recurrent core, a persistent key-value program memory, and domain-specific encoders that ...
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Claude Coulombe's profile photo
 
Particularly they've done that work with very few training observations / data samples.

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Claude Coulombe

Discussion  - 
 
Ten applications of Deep Learning and AI in use today by R.L. Adams in the Forbes magazine: Siri, Alexa, Tesla, Cogito, Boxever, John Paul, Amazon, Netflix, Pandora and Nest. Ok, mixing businesses and products.. ;-(
There are many examples of artificial intelligence being used today to enhance and improve our lives, but these are some of the most potent applications of A.I.
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Claude Coulombe

Discussion  - 
 
PyTorch, a new Python package (early-release Beta) that provides Tensors and deep neural networks in Python with GPU acceleration.Of course PyTorch should contribute to democratize the use of the Torch Library.
PyTorch is a python package that provides two high-level features: Tensor computation (like numpy) with strong GPU acceleration; Deep Neural Networks built on a tape-based autograd system. You can reuse your favorite python packages such as numpy, scipy and Cython to extend PyTorch when ...
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Jan Bussieck

Discussion  - 
 
This week in Deep Learning: Recognizing Traffic Lights, Rules of Machine Learning, Microsoft acquires Maluuba & Keras becomes part of TensoFlow
http://digest.deeplearningweekly.com/issues/deep-learning-weekly-issue-24-recognizing-traffic-lights-rules-of-machine-learning-more-42067

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Vlada Kucera

Discussion  - 
 
I just collect some ideas about Amazon GO from the business perspective. Data driven retail, learning and idea of Amazon GO as a service for others..
Computer vision opencv tutorial news c++ programing and computer vision business
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Claude Coulombe

Discussion  - 
 
The application period for the 2017-2018 NVIDIA Graduate Fellowship Program have been extended to January 23, 2017.
The application period for the 2017-2018 academic year is now open and will close on January 23, 2017 at 11:59pm Pacific time. (Note: The original deadline of Jan 16 has been extended to Jan 23 to avoid conflict with the SIGGRAPH paper deadline.) Eligibility; Evaluation Criteria; Application ...
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Dries Cronje

Discussion  - 
 
How is this for big news almost slipping through unnoticed. Tensorflow integrating Keras. 
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Kiki Jewell's profile photoDries Cronje's profile photo
5 comments
 
+Kiki Jewell​ for once I'm happy to be an early adopter :) 
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The second part of the series "Dissecting Reinforcement Learning" is available on my Blog. In this post: Monte Carlo methods for prediction and control, Generalised Policy Iteration, Q function. As usual there are complete Python code, graphical illustrations, and links to resources and videos. Share if you like...
Explaining the basic ideas behind reinforcement learning. In particular, Markov Decision Process, Bellman equation, Value iteration and Policy Iteration algorithms, policy iteration through linear algebra methods. It includes...
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Massimiliano Patacchiola's profile photo
2 comments
 
+Claude Coulombe Thanks again ;-)
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Mundher Alshabi

Discussion  - 
 
udacity deep learning nano-degree
guess with who?
Siraj
With Siraj Raval, Udacity provides a dynamic introduction to Deep Learning, using weekly videos, exclusive projects, and expert feedback to teach you the foundations of this future-shaping technology.
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Claude Coulombe's profile photo
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News about deep learning, feature learning, deep belief networks, convolutional nets, and related topics.

Claude Coulombe

Discussion  - 
 
Yet another DL framework... but this time based on regular CPU's. Intel has launched a new open source deep learning framework called BigDL which runs as a Spark job. Modeled after Torch DL library, BigDL was designed to take advantage of hardware acceleration built into Intel's Xeon CPUs. Furthermore, BigDL can load pre-trained Caffe or Torch models. 
BigDL: Distributed Deep Learning Library for Apache Spark
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Benjamin Ellenberger's profile photoClaude Coulombe's profile photo
4 comments
 
+Benjamin Ellenberger Indeed, you are right. Generally, prediction with a trained model is a lot lighter process.
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Claude Coulombe

Discussion  - 
 
On the DL applications scene, Pinterest announces that they use Deep Learning to generate Related Pins, an item-to-item recommendations system that uses collaborative filtering. They built a Pin2Vec embedding representation analog to Word2Vec words embedding and they look up for the nearest Pins by their distances.
One of the most popular ways people find ideas on Pinterest is through Related Pins, an item-to-item recommendations system that uses collaborative filtering. Previously, candidates were generated using board co-occurrence, signals from all the boards a Pin is saved to.
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Rishab Goel's profile photo
 
Quite interesting approach! :)
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Mundher Alshabi

Discussion  - 
 
A new course from MIT 6.S094: Deep Learning for Self-Driving Cars
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Claude Coulombe's profile photo
 
The course uses Andrej Karpathy's ConvNetJS https://goo.gl/2pdgTJ
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Neural Networks had their beginnings in 1943 when Warren McCulloch, a neurophysiologist, and a young mathematician, Walter Pitts, wrote a paper on how neurons might work. Much later in 1958, Frank…
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Claude Coulombe

Discussion  - 
 
In a similar vein than previous posts today, a paper on «Edward» a new probabilistic programming language (PPL) which is integrated into TensorFlow. I would point out that PPL are special languages related to graphical models like PyMC, Stan, Anglican, PRISM, an a lot more (even the Troll language).
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Stoney Vintson

Discussion  - 
 
Francois Chollet the author of Keras and an AI researcher at Google mentioned on Reddit that tf.learn will gain official Google support. tf.learn will first move into contrib and then core tensorflow.

Big deep learning news: Google Tensorflow chooses Keras. 03 Jan 2017 Rachel Thomas. Buried in a Reddit comment, Francois Chollet, author of Keras and AI researcher at Google, made an exciting announcement: Keras will be the first high-level library added to core TensorFlow at Google, which will ...
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Rafael Espericueta's profile photo
2 comments
 
Excellent!
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Claude Coulombe

Discussion  - 
 
Microsoft acquires Maluuba, a Montréal-based startup focused on NLP and virtual assistants. It’s hard to estimate the importance for Microsoft gaining access to Yoshua Bengio’s expertise who is an advisor of Maluuba. But Yoshua was also Metamind's advisor which was acquired by Saleforce last April.
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Claude Coulombe

Discussion  - 
 
Micro$oft acquires Maluuba, a Montréal-based startup focused on NLP and virtual assistants. It’s hard to estimate the importance for Micro$oft gaining access to Yoshua Bengio’s expertise who is an advisor of Maluuba. But Yoshua was also Metamind's advisor which was acquired by Saleforce last April.
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Claude Coulombe

Discussion  - 
 
Deep Learning Nanodegree Foundation Program by Udacity, the trailer is truly appealing! The best of two worlds, the combination of Siraj Raval energy and passion with the professionalism and rigour of the Udacity staff embodied by Mat Leonard. Promising...

I've wrote a post about this new MOOC but the « zealous spam filter » has rejected it..

That should easy to find the hyperlink.
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Claude Coulombe

Discussion  - 
 
A new MOOC, Deep Learning Nanodegree Foundation Program (shorter than full Nanodegree) by Udacity. The trailer is truly appealing! The best of two worlds, the combination of Siraj Raval energy and passion with the professionalism and rigour of the Udacity staff embodied by Mat Leonard. Promising...
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Claude Coulombe's profile photo
 
The news on TechCrunch https://goo.gl/4y47ZZ
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