(x)
| 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] |
| 38 | return tf.nn.max_pool(x, ksize=[1,2,2,1], strides=[1,2,2,1], padding='SAME') |
| 39 | |
| 40 | # define placeholder for inputs to network |
| 41 | xs = tf.placeholder(tf.float32, [None, 784])/255. # 28x28 |