Open InhoChang opened 7 years ago
If i want to use conv2d kernel size 1x5 and 5x1 then how can i set the 'kernel' value?
Now i try it like below:
conv2d(kernel=[1, 5], depth=32, activation_fn = tf.nn.relu, edges='SAME', name='layer_conv1_a', batch_normalize = True). \ conv2d(kernel=[5, 1], depth=32, activation_fn = tf.nn.relu, edges='SAME', name='layer_conv1_b'). \
is this right setting for 1x5 and 5x1 conv kernel?
If i want to use conv2d kernel size 1x5 and 5x1 then how can i set the 'kernel' value?
Now i try it like below:
conv2d(kernel=[1, 5], depth=32, activation_fn = tf.nn.relu, edges='SAME', name='layer_conv1_a', batch_normalize = True). \ conv2d(kernel=[5, 1], depth=32, activation_fn = tf.nn.relu, edges='SAME', name='layer_conv1_b'). \
is this right setting for 1x5 and 5x1 conv kernel?