model.rp_layer module

License

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class model.rp_layer.Layer(ishape, neurons, oshape=0, weights_initializer=<function random_normal>, bias_initializer=<function random_normal>, gamma_initializer=<function rbf_default>, sigma_initializer=<function ones>, activation=<function tanh>, reg_strength=0.0, lambda_init=0.1, weights_rate=0.001, biases_rate=0.001, gamma_rate=0.0, sigma_rate=0.0, cvnn=1, lr_decay_method=<function none_decay>, lr_decay_rate=0.0, lr_decay_steps=1, kernel_initializer=<function opt_ptrbf_weights>, kernel_size=3, module=None, category=1, layer_type='Fully')[source]

Bases: object

Specification for a layer to be passed to the Neural Network during construction. This includes a variety of parameters to configure each layer based on its activation type.