================================================================= PARAMETERS ----------------------------------------------------------------- Training Set: /home/rory/Documents/01_myDatasets/remy/best_100_faces/ Batch Size: 3 Optimizer: rmsprop Critic Learning Rate: 5e-05 Critic Conv Filter Size: [64, 64, 64] Critic Stride Size: [2, 2, 2] Critic Kernel Size: [4, 4, 4] Generator Learning Rate: 5e-05 Generator Initial Dense Layer Size: (8, 8, 128) Generator Conv Filter Size: [128, 64, 64, 64, 32, 3] Generator Stride Size: [1, 1, 1, 1, 1, 1] Generator Kernel Size: [3, 3, 3, 3, 5, 7] Generator Upsample: [2, 2, 2, 2, 1, 1] ================================================================= ================================================================= CRITIC ARCHITECTURE ----------------------------------------------------------------- Layer: critic_input Output: ( None, 128, 128, 3 ) Layer: critic_conv_0 Output: ( None, 64, 64, 64 ) Layer: critic_conv_1 Output: ( None, 32, 32, 64 ) Layer: critic_conv_2 Output: ( None, 16, 16, 64 ) Layer: flatten Output: ( None, 16384 ) Layer: dense_1 Output: ( None, 1 ) ================================================================= ================================================================= GENERATOR ARCHITECTURE ----------------------------------------------------------------- Layer: generator_input Output: ( None, 128 ) Layer: dense Output: ( None, 8192 ) Layer: activation Output: ( None, 8192 ) Layer: reshape Output: ( None, 8, 8, 128 ) Layer: generator_conv_0 Output: ( None, 16, 16, 128 ) Layer: activation_1 Output: ( None, 16, 16, 128 ) Layer: generator_conv_1 Output: ( None, 32, 32, 64 ) Layer: activation_2 Output: ( None, 32, 32, 64 ) Layer: generator_conv_2 Output: ( None, 64, 64, 64 ) Layer: activation_3 Output: ( None, 64, 64, 64 ) Layer: generator_conv_3 Output: ( None, 128, 128, 64 ) Layer: activation_4 Output: ( None, 128, 128, 64 ) Layer: generator_conv_4 Output: ( None, 128, 128, 32 ) Layer: activation_5 Output: ( None, 128, 128, 32 ) Layer: generator_conv_5 Output: ( None, 128, 128, 3 ) Layer: activation_6 Output: ( None, 128, 128, 3 ) =================================================================