yue

大佬您好，可否详细说明一下您的CapsuleNet是如何实现的

confused with the conv layer

3

`Att_v = tf.contrib.layers.conv2d(G, num_outputs=opt.num_class,kernel_size=[opt.ngram], padding='SAME',activation_fn=tf.nn.relu) #b * s * c` The implementation code above is a conv2D operation on the match matrix G. while the formulations in the paper below...