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SPEED UP TRAINING WITH GPU-ACCELERATED TENSORFLOW
The fastest, easiest way to get started with deep learning on GPUs
Speed Up Training with GPU-Accelerated TensorFlow

Recommended System Configurations for TensorFlow

PC
CPU Architecture
x86_64
System Memory
8-32GB
CPUs
1-2
GPUs
1-2
SERVERS
CPU Architecture
x86_64
System Memory
32 GB
CPUs/Nodes
1-2
GPUs per node
1-4
SOFTWARE STACK
OS
Ubuntu 14.04
GPU Driver
367.35 or newer
CUDA Toolkit
8.0
cuDNN library
v5.1
Python
2.7
 

Additional Resources

TensorFlow home page
TensorFlow tutorials
TensorFlow GitHub repository
cuDNN library main page
Visualization of learning and computation graphs with TensorBoard

Simplified interfaces for machine learning with TensorFlow:
Keras
TF Learn / Scikit Flow (now included with TensorFlow)

FIND YOUR IDEAL SOLUTION.