An introduction to GPU programming using Theano - Paul O'Grady - YouTube
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism – arXiv Vanity
Why and how are GPU's so important for Neural Network computations? Why can't GPU be used to speed up any other computation, what is special about NN computations that make GPUs useful? -
Analysis-Driven Optimization: Finishing the Analysis with NVIDIA Nsight Compute, Part 3 | NVIDIA Technical Blog
Theano Machine Learning on a GPU on Windows 10 - CodeProject
Theano Tutorial - Marek Rei
Maximizing Unified Memory Performance in CUDA | NVIDIA Technical Blog
Some Basic Concepts of Theano | Packt Hub
GPU Programming using BU's Shared Computing Cluster - ppt download
Packaging Deep Learning: NVIDIA Simplifies Working with Common Deep Learning Frameworks – Charting Stacks
Theano Machine Learning on a GPU on Windows 10 - CodeProject
Theano Machine Learning on a GPU on Windows 10 - CodeProject
Theano not freeing GPU memory · Issue #4391 · Theano/Theano · GitHub
NVIDIA Pascal Archives | Tech ARP
New DRIVE OS and DriveWorks Updates Enable Streamlined AV Software Development | NVIDIA Technical Blog
PDF) Theano: A CPU and GPU math compiler in Python
arXiv:1710.04162v1 [cs.DC] 11 Oct 2017
Theano Machine Learning on a GPU on Windows 10 - CodeProject
How To Build and Use a Multi GPU System for Deep Learning — Tim Dettmers
You are importing theano.sandbox.cuda. This is the old GPU back-end and · Issue #3 · pythonuser200/LLNet · GitHub
Scaling Keras Model Training to Multiple GPUs | NVIDIA Technical Blog
