The MNIST database of handwritten digits has a training set of 60,000 examples, and a test set of 10,000 examples. Each example is a 28 × 28 gray image. They are provided by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges.
- mlp.py : multilayer perceptron with 3 fully connected layers
- lenet.py : LeNet with 2 convolution layers followed by 2 fully connected layers
Using 100 minibatch size and 20 data passes (not fine tuned.)
Machine: Dual Xeon E5-2680 2.8GHz, Dual GTX 980, Ubuntu 14.0, GCC 4.8.
| val accuracy | 2 x E5-2680 | 1 x GTX 980 | 2 x GTX 980 | |
|---|---|---|---|---|
mlp.py MKL + CUDA 7 |
97.8% | 40K img/sec | 103K img/sec | 60K img/sec |
lenet.py MKL + CUDA 7 |
99% | 368 img/sec | 22.5K img/sec | 33K img/sec |
lenet.py MKL + CUDA 7 + CUDNN v3 |
- | - | 19K img/sec | 29 K img/sec |