(x, W)
| 29 | return tf.Variable(initial) |
| 30 | |
| 31 | def conv2d(x, W): |
| 32 | # stride [1, x_movement, y_movement, 1] |
| 33 | # Must have strides[0] = strides[3] = 1 |
| 34 | return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME') |
| 35 | |
| 36 | def max_pool_2x2(x): |
| 37 | # stride [1, x_movement, y_movement, 1] |