goldsborough

#include <cudnn.h>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <opencv2/opencv.hpp>

#define checkCUDNN(expression)                               \
  {                                                          \
    cudnnStatus_t status = (expression);                     \
    if (status != CUDNN_STATUS_SUCCESS) {                    \

jkleint

#!/usr/bin/env python
"""Demonstrate Keras model weight shuffling as fast alternative to re-creating a model."""

from __future__ import print_function

import numpy as np
from keras.layers import Dense
from keras.models import Sequential