ianchanning + deeplearning   60

The deepest problem with deep learning
The guy is an idiot but he has some interesting links
deeplearning  blogs 
6 weeks ago by ianchanning
A prototype compiler for running the code you want to write as fast as the code you have to write (as long as it's numerical).
haskell  scheme  automaticdifferentiation  neuralnetworks  deeplearning  differentiableprogramming  computerscience 
9 weeks ago by ianchanning
BYU Holodeck
A high-fidelity simulator for deep reinforcement learning
deeplearning  reinforcementlearning  artificialintelligence  ai  research 
october 2018 by ianchanning
Differentiable Programming for Image Processing and Deep Learning in Halide
We extend the image processing language Halide with general reversemode automatic differentiation (AD), and the ability to automatically optimize the implementation of gradient computations. This enables automatic computation of the gradients of arbitrary Halide programs, at high performance, with little programmer effort. A key challenge is to structure the gradient code to retain parallelism. We define a simple algorithm to automatically schedule these pipelines, and show how Halide’s existing scheduling primitives can express and extend the key AD optimization of "checkpointing."
halide  differentiableprogramming  deeplearning  performance 
september 2018 by ianchanning
TVM Stack
End to End Deep Learning Compiler Stack for CPUs, GPUs and specialized accelerators
deeplearning  neuralnetworks  artificialintelligence 
september 2018 by ianchanning
Using Voice
to Make Technology Disappear
voice  personalassistant  jeeves  artificialintelligence  deeplearning  ai 
july 2018 by ianchanning
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, University of Toronto
Ilya Sutskever, University of Toronto
Geoffrey E. Hinton, University of Toronto
neuralnetworks  deeplearning  research  papers  cnn  2012 
february 2018 by ianchanning

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