Awesome
CIFAR-10 example for DAU-ConvNet
Example for using DAU-ConvNet with simple three layer architecture on CIFAR-10 dataset. Based on original TensorFlow CIFAR-10 tutorial. Modified only network architecture in cifar10.py inference() method.
You need to have DAU-ConvNet TensorFlow plugin compiled, installed and available in python system path.
Original README
NOTE: For users interested in multi-GPU, we recommend looking at the newer cifar10_estimator example instead.
CIFAR-10 is a common benchmark in machine learning for image recognition.
http://www.cs.toronto.edu/~kriz/cifar.html
Code in this directory demonstrates how to use TensorFlow to train and evaluate a convolutional neural network (CNN) on both CPU and GPU. We also demonstrate how to train a CNN over multiple GPUs.
Detailed instructions on how to get started available at: