def conv2d(x, W):
    return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME')
Create a convolution layer, given inputs x and
dataset/ETHPy150Open longubu/datumio/examples/tensorflow/mnist_cnn.py/conv2d