Index

_

_backward() (bgd.layers.activation.Activation method) (bgd.layers.conv2d.Convolutional2D method) (bgd.layers.dropout.Dropout method) (bgd.layers.fc.FullyConnected method) (bgd.layers.flatten.Flatten method) (bgd.layers.layer.Layer method) (bgd.layers.max_pooling2d.MaxPooling2D method) (bgd.layers.noise.GaussianNoise method) _eval() (bgd.cost.Cost method) (bgd.cost.CrossEntropy method) (bgd.cost.MSE method) _forward() (bgd.layers.activation.Activation method) (bgd.layers.conv2d.Convolutional2D method) (bgd.layers.dropout.Dropout method) (bgd.layers.fc.FullyConnected method) (bgd.layers.flatten.Flatten method) (bgd.layers.layer.Layer method) (bgd.layers.max_pooling2d.MaxPooling2D method) (bgd.layers.noise.GaussianNoise method)

_grad() (bgd.cost.Cost method) (bgd.cost.CrossEntropy method) (bgd.cost.MSE method) _next() (bgd.batch.Batching method) (bgd.batch.SGDBatching method) _print_fitness() (bgd.cost.ClassificationCost method) (bgd.cost.Cost method) (bgd.cost.RegressionCost method) _start() (bgd.batch.Batching method) (bgd.batch.SGDBatching method)

A

accuracy() (bgd.cost.ClassificationCost static method) activate_dropout() (bgd.nn.NeuralStack method) activate_propagation() (bgd.layers.layer.Layer method)

Activation (class in bgd.layers.activation) AdamOptimizer (class in bgd.optimizers) add() (bgd.nn.NeuralStack method) alpha (bgd.optimizers.LBFGS attribute)

B

backward() (bgd.layers.layer.Layer method) batch_op (bgd.nn.NeuralStack attribute) Batching (class in bgd.batch) bgd module bgd.batch module bgd.cost module bgd.errors module bgd.initializers module bgd.layers module bgd.layers.activation module bgd.layers.conv module bgd.layers.conv2d module bgd.layers.dropout module

bgd.layers.fc module bgd.layers.flatten module bgd.layers.layer module bgd.layers.max_pooling module bgd.layers.max_pooling2d module bgd.layers.noise module bgd.layers.operators module bgd.nn module bgd.optimizers module bgd.utils module biases (bgd.layers.fc.FullyConnected attribute) binarize_labels() (in module bgd.nn)

C

check_components() (bgd.nn.NeuralStack method) ClassificationCost (class in bgd.cost) conv_2d_backward() (in module bgd.layers.conv) conv_2d_backward_weights() (in module bgd.layers.conv) conv_2d_forward() (in module bgd.layers.conv) conv_2d_forward_sse() (in module bgd.layers.conv)

Convolutional2D (class in bgd.layers.conv2d) Cost (class in bgd.cost) cost_op (bgd.nn.NeuralStack attribute) CrossEntropy (class in bgd.cost) current_input (bgd.layers.layer.Layer attribute) current_output (bgd.layers.layer.Layer attribute)

D

deactivate_dropout() (bgd.nn.NeuralStack method)

deactivate_propagation() (bgd.layers.layer.Layer method) Dropout (class in bgd.layers.dropout)

E

epsilon (bgd.cost.CrossEntropy attribute) eval() (bgd.cost.Cost method) (bgd.nn.NeuralStack method)

eval_loss() (bgd.nn.NeuralStack method)

F

Flatten (class in bgd.layers.flatten)

forward() (bgd.layers.layer.Layer method) FullyConnected (class in bgd.layers.fc)

G

GaussianInitializer (class in bgd.initializers) GaussianNoise (class in bgd.layers.noise) get_accuracy() (bgd.nn.NeuralStack method) get_parameters() (bgd.layers.activation.Activation method) (bgd.layers.conv2d.Convolutional2D method) (bgd.layers.dropout.Dropout method) (bgd.layers.fc.FullyConnected method) (bgd.layers.flatten.Flatten method) (bgd.layers.layer.Layer method) (bgd.layers.max_pooling2d.MaxPooling2D method) (bgd.layers.noise.GaussianNoise method) (bgd.layers.operators.Operator method)

GlorotGaussianInitializer (class in bgd.initializers) GlorotUniformInitializer (class in bgd.initializers) grad() (bgd.cost.Cost method) gradient_fragments (bgd.optimizers.Optimizer attribute)

I

initialize() (bgd.initializers.Initializer method)

Initializer (class in bgd.initializers) input_shape (bgd.layers.layer.Layer attribute)

K

k (bgd.optimizers.LBFGS attribute)

L

Layer (class in bgd.layers.layer) layers (bgd.nn.NeuralStack attribute)

LBFGS (class in bgd.optimizers) learnable() (bgd.layers.layer.Layer method) log() (in module bgd.utils)

M

max_pooling_2d_backward() (in module bgd.layers.max_pooling) max_pooling_2d_forward() (in module bgd.layers.max_pooling) MaxPooling2D (class in bgd.layers.max_pooling2d) mini_batches() (bgd.batch.SGDBatching method) module bgd bgd.batch bgd.cost bgd.errors bgd.initializers bgd.layers bgd.layers.activation bgd.layers.conv bgd.layers.conv2d bgd.layers.dropout bgd.layers.fc bgd.layers.flatten bgd.layers.layer bgd.layers.max_pooling bgd.layers.max_pooling2d bgd.layers.noise bgd.layers.operators bgd.nn bgd.optimizers bgd.utils

moment_1 (bgd.optimizers.AdamOptimizer attribute) moment_2 (bgd.optimizers.AdamOptimizer attribute) MomentumOptimizer (class in bgd.optimizers) MSE (class in bgd.cost)

N

name() (bgd.cost.Cost method) (bgd.cost.CrossEntropy method) (bgd.cost.MSE method)

NeuralStack (class in bgd.nn) next() (bgd.batch.Batching method) NonLearnableLayerError now() (in module bgd.utils)

O

Operator (class in bgd.layers.operators)

optimizer (bgd.nn.NeuralStack attribute) Optimizer (class in bgd.optimizers)

P

previous_grad (bgd.optimizers.LBFGS attribute) (bgd.optimizers.MomentumOptimizer attribute)

print_fitness() (bgd.cost.Cost method) propagate (bgd.layers.layer.Layer attribute)

R

RegressionCost (class in bgd.cost)

RequiredComponentError

S

s (bgd.optimizers.LBFGS attribute) SGDBatching (class in bgd.batch)

split_train_val() (in module bgd.nn) start() (bgd.batch.Batching method) step (bgd.optimizers.AdamOptimizer attribute)

T

train() (bgd.nn.NeuralStack method)

U

UniformInitializer (class in bgd.initializers) update() (bgd.optimizers.Optimizer method)

update_parameters() (bgd.layers.conv2d.Convolutional2D method) (bgd.layers.fc.FullyConnected method) (bgd.layers.layer.Layer method)

W

warm (bgd.batch.Batching attribute)

weights (bgd.layers.fc.FullyConnected attribute) WrongComponentTypeError

Y

y (bgd.optimizers.LBFGS attribute)

Z

ZeroInitializer (class in bgd.initializers)