code stringlengths 3 6.57k |
|---|
recurrent_constraint(self) |
bias_constraint(self) |
dropout(self) |
recurrent_dropout(self) |
implementation(self) |
get_config(self) |
activations.serialize(self.activation) |
activations.serialize(self.recurrent_activation) |
initializers.serialize(self.kernel_initializer) |
initializers.serialize(self.recurrent_initializer) |
initializers.serialize(self.bias_initializer) |
regularizers.serialize(self.kernel_regularizer) |
regularizers.serialize(self.recurrent_regularizer) |
regularizers.serialize(self.bias_regularizer) |
regularizers.serialize(self.activity_regularizer) |
constraints.serialize(self.kernel_constraint) |
constraints.serialize(self.recurrent_constraint) |
constraints.serialize(self.bias_constraint) |
super(GRU, self) |
get_config() |
dict(list(base_config.items() |
list(config.items() |
from_config(cls, config) |
cls(**config) |
LSTMCell(Layer) |
use
(see [activations](../activations.md) |
applied
(ie. "linear" activation: `a(x) |
step
(see [activations](../activations.md) |
inputs
(see [initializers](../initializers.md) |
state
(see [initializers](../initializers.md) |
vector
(see [initializers](../initializers.md) |
matrix
(see [regularizer](../regularizers.md) |
matrix
(see [regularizer](../regularizers.md) |
vector
(see [regularizer](../regularizers.md) |
matrix
(see [constraints](../constraints.md) |
matrix
(see [constraints](../constraints.md) |
vector
(see [constraints](../constraints.md) |
super(LSTMCell, self) |
__init__(**kwargs) |
activations.get(activation) |
activations.get(recurrent_activation) |
initializers.get(kernel_initializer) |
initializers.get(recurrent_initializer) |
initializers.get(bias_initializer) |
regularizers.get(kernel_regularizer) |
regularizers.get(recurrent_regularizer) |
regularizers.get(bias_regularizer) |
constraints.get(kernel_constraint) |
constraints.get(recurrent_constraint) |
constraints.get(bias_constraint) |
min(1., max(0., dropout) |
min(1., max(0., recurrent_dropout) |
build(self, input_shape) |
self.add_weight(shape=(input_dim, self.units * 4) |
bias_initializer(_, *args, **kwargs) |
self.bias_initializer((self.units,) |
initializers.Ones() |
self.bias_initializer((self.units * 2,) |
self.add_weight(shape=(self.units * 4,) |
call(self, inputs, states, training=None) |
_generate_dropout_ones(inputs, K.shape(inputs) |
_generate_dropout_ones(inputs, self.units) |
K.dot(inputs_i, self.kernel_i) |
K.dot(inputs_f, self.kernel_f) |
K.dot(inputs_c, self.kernel_c) |
K.dot(inputs_o, self.kernel_o) |
K.bias_add(x_i, self.bias_i) |
K.bias_add(x_f, self.bias_f) |
K.bias_add(x_c, self.bias_c) |
K.bias_add(x_o, self.bias_o) |
K.dot(inputs, self.kernel) |
K.dot(h_tm1, self.recurrent_kernel) |
K.bias_add(z, self.bias) |
self.recurrent_activation(z0) |
self.recurrent_activation(z1) |
self.activation(z2) |
self.recurrent_activation(z3) |
self.activation(c) |
get_config(self) |
activations.serialize(self.activation) |
activations.serialize(self.recurrent_activation) |
initializers.serialize(self.kernel_initializer) |
initializers.serialize(self.recurrent_initializer) |
initializers.serialize(self.bias_initializer) |
regularizers.serialize(self.kernel_regularizer) |
regularizers.serialize(self.recurrent_regularizer) |
regularizers.serialize(self.bias_regularizer) |
constraints.serialize(self.kernel_constraint) |
constraints.serialize(self.recurrent_constraint) |
constraints.serialize(self.bias_constraint) |
super(LSTMCell, self) |
get_config() |
dict(list(base_config.items() |
list(config.items() |
LSTM(RNN) |
use
(see [activations](../activations.md) |
applied
(ie. "linear" activation: `a(x) |
step
(see [activations](../activations.md) |
inputs.
(see [initializers](../initializers.md) |
state.
(see [initializers](../initializers.md) |
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