(x, W, stride)
| 30 | return tf.Variable(initial) |
| 31 | |
| 32 | def conv2d(x, W, stride): |
| 33 | return tf.nn.conv2d(x, W, strides = [1, stride, stride, 1], padding = "SAME") |
| 34 | |
| 35 | def max_pool_2x2(x): |
| 36 | return tf.nn.max_pool(x, ksize = [1, 2, 2, 1], strides = [1, 2, 2, 1], padding = "SAME") |