breast_cancer_params_b.py

p = {'lr': (0.8, 1.2, 3),
     'first_neuron':[4, 8, 16, 32, 64],
     'hidden_layers':[0, 1, 2],
     'batch_size': (1, 5, 5),
     'epochs': [50, 100, 150],
     'dropout': (0, 0.2, 3),
     'weight_regulizer':[None],
     'emb_output_dims': [None],
     'shape':['brick','long_funnel'],
     'kernel_initializer': ['uniform','normal'],
     'optimizer': [Adam, Nadam, RMSprop],
     'losses': [binary_crossentropy],
     'activation':[relu, elu],
     'last_activation': [sigmoid]}