In the News
Using algorithms to determine character
Computers aren’t just doing hard math problems and showing us cat videos. Increasingly, they judge our character.
Airbnb needs to be better at search than Google
Airbnb faces an altogether unique set of challenges, most notably, the fact that its search results don’t simply reflect websites or photos or products. They reflect peopl
The guy who taught AI to 'remember' is launching a startup
Jürgen Schmidhuber, a key figure in the development of modern RNNs, is fouding Nnaisense.
Also in the news this week...
- As part of Obama's Police Data Initiative, researchers and police are [studying]((http://www.scientificamerican.com/article/can-police-use-data-science-to-prevent-deadly-encounters/) "predictive analytics" to improve existing officer early warning systems
- Deep Genomics, a University of Toronto spinoff that recently launched aims to combine deep learning with the study of the human genome, and to predict the consequences of genomic alteration on various cell mechanisms to make life-changing decisions,
- Former CERN researcher and Machine Learning entrepreneur shares his thoughts on the difference between Machine Learning and intelligence.
Learning
How Google Translate squeezes deep learning onto a phone
The Google Translate app now does real-time visual translation of 20 more languages. How do they do that? The Google Research blog has a few words on the topic.
Free online book - Neural networks and deep learning
neuralnetworksanddeeplearning.com
Exploring the shapes of stories using Python and sentiment APIs
Description of a pre-trained sentiment model that can score the long-range sentiment of text of stories, books, and movies. The models do a reasonable job of summarizing the “shapes of stories” directly from text. This method can be extended to search across databases to find stories with similar plot shape as the query story.
An executive’s guide to machine learning
Software tools & code
Hinton's Dropout in 3 lines of Python
Dropout is an important part of neural network training. Here is Geoffrey Hinton's take on dropout in Python.
Classification datasets results
Discover the current state of the art in objects classification. Covers well-known tests such as MNIST, CIFAR...
ConvNetJS - Deep Learning in the browser
Javascript library for training Deep Learning models entirely in your browser. No software requirements, no compilers, no installations, no GPUs.
Brains & Neurons
The Brain vs Deep Learning
This post delves into the brain and explains its basic information processing machinery in comparison to deep learning. Fascinating read.
Some thoughts
Machines learn to play Tabla
Tabla is an indian percussion instrument and here are some beats composed by machines.
Machine learning to predict San Francisco crime
Description of an interesting recent submission to Kaggle to predict crime in SF.
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