Deconvolutional layer in model_01_deconv.py #37
Description
Can anyone explain what the deconvolutional layer def deconv3D_to_output(input_layer, input_dim, output_dim, height, width, length, stride, output_shape, activation=tf.nn.relu, padding="SAME", name="") is for? and does is influence the training/learning process?
Thank you.