Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
of the convolutional layers, i.e. deconvolution. Notice that the strides and padding are the same for ease of implementation, and we again use batch normalization and leaky ReLU. def add_decoder_block(x, filters, filter_size): x = Deconvolution2D(filters, filter_size, strides=2, padding='same')(x)