Keraflow
Deep Learning for Python.
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Base class for layer accepting multiple inputs. More...
Additional Inherited Members | |
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def | __init__ |
def | set_trainable_params |
Register the layer's trainable parameters. More... | |
def | input_dimension |
Return the expected dimension of input tensor. More... | |
def | check_input_shape |
Check if the input shape(s) are valid. More... | |
def | init_param |
Initializes trainable parameter(s) of the layer. More... | |
def | output |
Calculates the output tensor of the layer given the input tensor(s). More... | |
def | output_shape |
Calculates the shape of the output tensor given the shape of the input tensor(s). More... | |
def | support_mask |
Whether the layer supports to carry on to the output tensor the mask embedded in input tensor. More... | |
def | pack_init_param |
Check keraflow.utils.generic_utils.serialize. | |
def | get_tensor_shape |
Get the shape of a tensor. More... | |
def | get_weights |
Gets trainable parameter name, value (numpy arrays) pairs. More... | |
def | embed |
Embeds the target layer such that its trainable parameters (along with regularizers and constraints on the parameters) are treated as the host layer's parameters and are updated during traing process. More... | |
def | __call__ |
Feed an input kensor or multiple input kensors to the layer and outputs another Kensor. More... | |
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def | unpack_init_param |
Check keraflow.utils.generic_utils.unserialize. More... | |
Base class for layer accepting multiple inputs.