"The JavaScript Way" is a book to help you get off to a good start in the JavaScript universe or catch up with its newest evolutions. Here are some highlights:

Deep Reinforcement Learning Papers

The guidelines were introduced during a number of talks at CppCon 2015.

A complete computer science study plan to become a software engineer.

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Summary of what's new in Java 8.

netdata is a scalable, distributed, real-time, performance and health monitoring solution for Linux, FreeBSD and MacOS. It is open-source too.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

via Lifehacker http://lifehacker.com

A curated list of the most cited deep learning papers (since 2012)

Test code against random data.

Xiki: Expand your Command Line!