NeuralNetworks.md

Neural Networks

TensorFlow

• TensorFlow

• perhaps more of historic interest?:

  • TensorFlow: Large-Scale Machine Learning on Distributed Systems (2015, pdf) (The Tensorflow white paper, HN)

  • Google has started a video series on machine learning and I can understand it

• Tinker With a Neural Network in Your Browser (tensorflow.org) (HN)

• Number plate recognition with TensorFlow - Matt's ramblings (HN)

• (copy from Teaching) Udacity Deep Learning basically an introduction to TensorFlow.

Torch

• TorchNet: Lighting the way to deep machine learning (HN)

In Rust

• Leaf, machine learning framework in Rust (HN, book) ("a Machine Intelligence Framework engineered by hackers, not scientists")

Various links

• Neural Network Evolution Playground with Backprop NEAT (HN)

• Setting up a Deep Learning Machine from Scratch (HN)

• SyntaxNet: Neural Models of Syntax (HN)

• Brainstorm (packaging effort for Debian)

• Deep Reinforcement Learning: Pong from Pixels ([HN](Deep Reinforcement Learning: Pong from Pixels | Hacker News.html))

• The Truth About Deep Learning (HN)

• What is the difference between deep learning and usual machine learning? (HN)

• Artificial intelligence produces realistic sounds that fool humans (news.mit.edu) (HN)

• Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks (Medium) (HN)

• What’s Next for Artificial Intelligence (HN: "The huge triumph of DL has been figuring out that as long as you can pose a problem in a differentiable way and you can obtain a sufficient amount of data, you can efficiently tackle it with a function approximator that can be optimized with first order methods - from that, flows everything. We have very little idea how to make really complicated problems differentiable. Maybe we will - but right now the toughest problems that we can put in a differentiable framework are those tackled by reinforcement learning, and the current approaches are incredibly inefficient. ")