x_train = x_train.astype('float32') / 255. x_test = x_test.astype('float32') / 255. x_train = x_train.reshape((len(x_train), np.prod(x_train.shape[1:]))) x_test = x ...
Increasing filter capacity (32/64 → 64/128) yields the largest quality gains (+0.04 SSIM, +2.6 dB PSNR). Loss function choice (MAE vs MSE) produces marginal ...
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