Index

_

__init__() (epynn.commons.models.dataSet method) (epynn.commons.models.Layer method) (epynn.network.models.EpyNN method) (epynn.template.models.Template method)

A

accuracy() (in module epynn.commons.metrics)

Activation activation_tune() (in module epynn.commons.maths)

B

backward() (epynn.convolution.models.Convolution method), [1] (epynn.dense.models.Dense method), [1] (epynn.dropout.models.Dropout method), [1] (epynn.embedding.models.Embedding method), [1] (epynn.flatten.models.Flatten method), [1] (epynn.gru.models.GRU method), [1] (epynn.lstm.models.LSTM method), [1] (epynn.network.models.EpyNN method), [1] (epynn.pooling.models.Pooling method), [1] (epynn.rnn.models.RNN method), [1] (epynn.template.models.Template method), [1]

batch_evaluate() (in module epynn.network.evaluate) batch_report() (epynn.network.models.EpyNN method) BCE() (in module epynn.commons.loss) Bias

C

CCE() (in module epynn.commons.loss) Cell Class (Python) clip_gradient() (in module epynn.commons.maths) CNN compute_gradients() (epynn.convolution.models.Convolution method), [1] (epynn.dense.models.Dense method), [1] (epynn.dropout.models.Dropout method), [1] (epynn.embedding.models.Embedding method), [1] (epynn.flatten.models.Flatten method), [1] (epynn.gru.models.GRU method), [1] (epynn.lstm.models.LSTM method), [1] (epynn.pooling.models.Pooling method), [1] (epynn.rnn.models.RNN method), [1] (epynn.template.models.Template method), [1] compute_shapes() (epynn.convolution.models.Convolution method), [1] (epynn.dense.models.Dense method), [1] (epynn.dropout.models.Dropout method), [1] (epynn.embedding.models.Embedding method), [1] (epynn.flatten.models.Flatten method), [1] (epynn.gru.models.GRU method), [1] (epynn.lstm.models.LSTM method), [1] (epynn.pooling.models.Pooling method), [1] (epynn.rnn.models.RNN method), [1] (epynn.template.models.Template method), [1]

configure_directory() (in module epynn.commons.library) Convolution (class in epynn.convolution.models), [1] convolution_backward() (in module epynn.convolution.backward) convolution_compute_gradients() (in module epynn.convolution.parameters) convolution_compute_shapes() (in module epynn.convolution.parameters) convolution_forward() (in module epynn.convolution.forward) convolution_initialize_parameters() (in module epynn.convolution.parameters) convolution_update_parameters() (in module epynn.convolution.parameters) Cost current_logs() (in module epynn.commons.logs)

D

dataSet (class in epynn.commons.models), [1] Dense (class in epynn.dense.models), [1] dense_backward() (in module epynn.dense.backward) dense_compute_gradients() (in module epynn.dense.parameters) dense_compute_shapes() (in module epynn.dense.parameters) dense_forward() (in module epynn.dense.forward) dense_initialize_parameters() (in module epynn.dense.parameters) dense_update_parameters() (in module epynn.dense.parameters) Dictionary (Python)

Dropout (class in epynn.dropout.models), [1] dropout_backward() (in module epynn.dropout.backward) dropout_compute_gradients() (in module epynn.dropout.parameters) dropout_compute_shapes() (in module epynn.dropout.parameters) dropout_forward() (in module epynn.dropout.forward) dropout_initialize_parameters() (in module epynn.dropout.parameters) dropout_update_parameters() (in module epynn.dropout.parameters) dsets_labels_logs() (in module epynn.commons.logs) dsets_samples_logs() (in module epynn.commons.logs)

E

elu() (in module epynn.commons.maths) Embedding (class in epynn.embedding.models), [1] embedding_backward() (in module epynn.embedding.backward) embedding_check() (in module epynn.embedding.dataset) embedding_compute_gradients() (in module epynn.embedding.parameters) embedding_compute_shapes() (in module epynn.embedding.parameters) embedding_encode() (in module epynn.embedding.dataset) embedding_forward() (in module epynn.embedding.forward) embedding_initialize_parameters() (in module epynn.embedding.parameters) embedding_prepare() (in module epynn.embedding.dataset) embedding_update_parameters() (in module epynn.embedding.parameters) encode_dataset() (in module epynn.commons.io) EpyNN (class in epynn.network.models), [1] epynn.commons.io module epynn.commons.library module epynn.commons.logs module epynn.commons.loss module epynn.commons.maths module epynn.commons.metrics module epynn.commons.models module epynn.commons.plot module epynn.commons.schedule module epynn.convolution.backward module epynn.convolution.forward module epynn.convolution.models module epynn.convolution.parameters module epynn.dense.backward module epynn.dense.forward module epynn.dense.models module epynn.dense.parameters module epynn.dropout.backward module epynn.dropout.forward module epynn.dropout.models module epynn.dropout.parameters module epynn.embedding.backward module epynn.embedding.dataset module epynn.embedding.forward module epynn.embedding.models module epynn.embedding.parameters module epynn.flatten.backward module

epynn.flatten.forward module epynn.flatten.models module epynn.flatten.parameters module epynn.gru.backward module epynn.gru.forward module epynn.gru.models module epynn.gru.parameters module epynn.lstm.backward module epynn.lstm.forward module epynn.lstm.models module epynn.lstm.parameters module epynn.network.backward module epynn.network.evaluate module epynn.network.forward module epynn.network.hyperparameters module epynn.network.initialize module epynn.network.models module epynn.network.report module epynn.network.training module epynn.pooling.backward module epynn.pooling.forward module epynn.pooling.models module epynn.pooling.parameters module epynn.rnn.backward module epynn.rnn.forward module epynn.rnn.models module epynn.rnn.parameters module epynn.settings module epynn.template.backward module epynn.template.forward module epynn.template.models module epynn.template.parameters module evaluate() (epynn.network.models.EpyNN method), [1] exp_decay() (in module epynn.commons.schedule)

F

Feed-Forward Flatten (class in epynn.flatten.models), [1] flatten_backward() (in module epynn.flatten.backward) flatten_compute_gradients() (in module epynn.flatten.parameters) flatten_compute_shapes() (in module epynn.flatten.parameters) flatten_forward() (in module epynn.flatten.forward) flatten_initialize_parameters() (in module epynn.flatten.parameters) flatten_update_parameters() (in module epynn.flatten.parameters) Float (Python) forward() (epynn.convolution.models.Convolution method), [1] (epynn.dense.models.Dense method), [1] (epynn.dropout.models.Dropout method), [1] (epynn.embedding.models.Embedding method), [1] (epynn.flatten.models.Flatten method), [1] (epynn.gru.models.GRU method), [1] (epynn.lstm.models.LSTM method), [1] (epynn.network.models.EpyNN method), [1] (epynn.pooling.models.Pooling method), [1] (epynn.rnn.models.RNN method), [1] (epynn.template.models.Template method), [1]

fscore() (in module epynn.commons.metrics)

G

Gate GRU (class in epynn.gru.models), [1] gru_backward() (in module epynn.gru.backward)

gru_compute_gradients() (in module epynn.gru.parameters) gru_compute_shapes() (in module epynn.gru.parameters) gru_forward() (in module epynn.gru.forward) gru_initialize_parameters() (in module epynn.gru.parameters) gru_update_parameters() (in module epynn.gru.parameters)

H

hadamard() (in module epynn.commons.maths)

headers_logs() (in module epynn.commons.logs) Hyperparameters

I

identity() (in module epynn.commons.maths) Immutable (Python) index_elements_auto() (in module epynn.commons.io) initialize() (epynn.network.models.EpyNN method), [1] initialize_backward() (in module epynn.convolution.backward) (in module epynn.dense.backward) (in module epynn.dropout.backward) (in module epynn.embedding.backward) (in module epynn.flatten.backward) (in module epynn.gru.backward) (in module epynn.lstm.backward) (in module epynn.pooling.backward) (in module epynn.rnn.backward) (in module epynn.template.backward) initialize_forward() (in module epynn.convolution.forward) (in module epynn.dense.forward) (in module epynn.dropout.forward) (in module epynn.embedding.forward) (in module epynn.flatten.forward) (in module epynn.gru.forward) (in module epynn.lstm.forward) (in module epynn.pooling.forward) (in module epynn.rnn.forward) (in module epynn.template.forward)

initialize_logs_print() (in module epynn.commons.logs) initialize_model_report() (in module epynn.network.report) initialize_parameters() (epynn.convolution.models.Convolution method) (epynn.dense.models.Dense method) (epynn.dropout.models.Dropout method) (epynn.embedding.models.Embedding method) (epynn.flatten.models.Flatten method) (epynn.gru.models.GRU method) (epynn.lstm.models.LSTM method) (epynn.pooling.models.Pooling method) (epynn.rnn.models.RNN method) (epynn.template.models.Template method), [1] Instance (Python) Instantiate (Python) Instantiation (Python) Integer (Python)

L

Layer (class in epynn.commons.models), [1] layers_lrate_logs() (in module epynn.commons.logs) layers_others_logs() (in module epynn.commons.logs) lin_decay() (in module epynn.commons.schedule) List (Python) Loss loss_functions() (in module epynn.commons.loss)

lrelu() (in module epynn.commons.maths) LSTM (class in epynn.lstm.models), [1] lstm_backward() (in module epynn.lstm.backward) lstm_compute_gradients() (in module epynn.lstm.parameters) lstm_compute_shapes() (in module epynn.lstm.parameters) lstm_forward() (in module epynn.lstm.forward) lstm_initialize_parameters() (in module epynn.lstm.parameters) lstm_update_parameters() (in module epynn.lstm.parameters)

M

MAE() (in module epynn.commons.loss) Metrics metrics_functions() (in module epynn.commons.metrics) mini_batches() (in module epynn.embedding.dataset) Model model_assign_seeds() (in module epynn.network.initialize) model_backward() (in module epynn.network.backward) model_evaluate() (in module epynn.network.evaluate) model_forward() (in module epynn.network.forward) model_hyperparameters() (in module epynn.network.hyperparameters) model_initialize() (in module epynn.network.initialize) model_initialize_exceptions() (in module epynn.network.initialize) model_learning_rate() (in module epynn.network.hyperparameters) model_report() (in module epynn.network.report) model_training() (in module epynn.network.training) module epynn.commons.io epynn.commons.library epynn.commons.logs epynn.commons.loss epynn.commons.maths epynn.commons.metrics epynn.commons.models epynn.commons.plot epynn.commons.schedule epynn.convolution.backward epynn.convolution.forward epynn.convolution.models epynn.convolution.parameters epynn.dense.backward epynn.dense.forward epynn.dense.models epynn.dense.parameters epynn.dropout.backward epynn.dropout.forward epynn.dropout.models epynn.dropout.parameters epynn.embedding.backward epynn.embedding.dataset epynn.embedding.forward epynn.embedding.models epynn.embedding.parameters epynn.flatten.backward epynn.flatten.forward epynn.flatten.models epynn.flatten.parameters epynn.gru.backward epynn.gru.forward epynn.gru.models epynn.gru.parameters epynn.lstm.backward epynn.lstm.forward epynn.lstm.models epynn.lstm.parameters epynn.network.backward epynn.network.evaluate epynn.network.forward epynn.network.hyperparameters epynn.network.initialize epynn.network.models epynn.network.report epynn.network.training epynn.pooling.backward epynn.pooling.forward epynn.pooling.models epynn.pooling.parameters epynn.rnn.backward epynn.rnn.forward epynn.rnn.models epynn.rnn.parameters epynn.settings epynn.template.backward epynn.template.forward epynn.template.models epynn.template.parameters

MSE() (in module epynn.commons.loss) MSLE() (in module epynn.commons.loss) Mutable (Python)

N

network_logs() (in module epynn.commons.logs) Neural Network

Neuron Node NPV() (in module epynn.commons.metrics)

O

one_hot_decode_sequence() (in module epynn.commons.io) one_hot_encode() (in module epynn.commons.io)

one_hot_encode_sequence() (in module epynn.commons.io) orthogonal() (in module epynn.commons.maths)

P

padding() (in module epynn.commons.io) Parameters plot() (epynn.network.models.EpyNN method), [1] Pooling (class in epynn.pooling.models), [1] pooling_backward() (in module epynn.pooling.backward) pooling_compute_gradients() (in module epynn.pooling.parameters) pooling_compute_shapes() (in module epynn.pooling.parameters)

pooling_forward() (in module epynn.pooling.forward) pooling_initialize_parameters() (in module epynn.pooling.parameters) pooling_update_parameters() (in module epynn.pooling.parameters) precision() (in module epynn.commons.metrics) predict() (epynn.network.models.EpyNN method), [1] pretty_json() (in module epynn.commons.logs) process_logs() (in module epynn.commons.logs) pyplot_metrics() (in module epynn.commons.plot)

R

read_file() (in module epynn.commons.library) read_model() (in module epynn.commons.library) read_pickle() (in module epynn.commons.library) recall() (in module epynn.commons.metrics) Recurrent relu() (in module epynn.commons.maths) report() (epynn.network.models.EpyNN method), [1]

RNN (class in epynn.rnn.models), [1] rnn_backward() (in module epynn.rnn.backward) rnn_compute_gradients() (in module epynn.rnn.parameters) rnn_compute_shapes() (in module epynn.rnn.parameters) rnn_forward() (in module epynn.rnn.forward) rnn_initialize_parameters() (in module epynn.rnn.parameters) rnn_update_parameters() (in module epynn.rnn.parameters)

S

scale_features() (in module epynn.commons.io) schedule_functions() (in module epynn.commons.schedule) schedule_lrate() (in module epynn.network.hyperparameters) se_hPars (in module epynn.settings), [1], [2] Set (Python) set_highlighted_excepthook() (in module epynn.commons.logs) settings_verification() (in module epynn.commons.library)

sigmoid() (in module epynn.commons.maths) single_batch_report() (in module epynn.network.report) softmax() (in module epynn.commons.maths) specificity() (in module epynn.commons.metrics) split_dataset() (in module epynn.embedding.dataset) start_counter() (in module epynn.commons.logs) steady() (in module epynn.commons.schedule) String (Python)

T

tanh() (in module epynn.commons.maths) Template (class in epynn.template.models), [1] template_backward() (in module epynn.template.backward) template_compute_gradients() (in module epynn.template.parameters) template_compute_shapes() (in module epynn.template.parameters) template_forward() (in module epynn.template.forward)

template_initialize_parameters() (in module epynn.template.parameters) template_update_parameters() (in module epynn.template.parameters) train() (epynn.network.models.EpyNN method), [1] Trainable training_batches() (epynn.embedding.models.Embedding method) Tuple (Python)

U

Unit update_parameters() (epynn.convolution.models.Convolution method) (epynn.dense.models.Dense method) (epynn.dropout.models.Dropout method) (epynn.embedding.models.Embedding method) (epynn.flatten.models.Flatten method) (epynn.gru.models.GRU method) (epynn.lstm.models.LSTM method) (epynn.pooling.models.Pooling method) (epynn.rnn.models.RNN method) (epynn.template.models.Template method), [1]

update_shapes() (epynn.commons.models.Layer method), [1]

W

Weight write() (epynn.network.models.EpyNN method), [1]

write_model() (in module epynn.commons.library) write_pickle() (in module epynn.commons.library)

X

xavier() (in module epynn.commons.maths)