January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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Training the Stage-I StackGAN
Before starting the training, we need to specify the essential hyperparameters. Hyperparameters are values that don't change during the training. Let's do this first:
data_dir = "Specify your dataset directory here/Data/birds"train_dir = data_dir + "/train"test_dir = data_dir + "/test"image_size = 64batch_size = 64z_dim = 100stage1_generator_lr = 0.0002stage1_discriminator_lr = 0.0002stage1_lr_decay_step = 600epochs = 1000condition_dim = 128embeddings_file_path_train = train_dir + "/char-CNN-RNN-embeddings.pickle"embeddings_file_path_test = test_dir + "/char-CNN-RNN-embeddings.pickle"filenames_file_path_train = train_dir + "/filenames.pickle"filenames_file_path_test = test_dir + "/filenames.pickle"class_info_file_path_train ...
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