zeta-learn
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Principal Component Analysis (PCA)
KMEANS
Convolutional Neural Network (CNN)
DIGITS Dataset Model Results
DIGITS Dataset Model Loss
DIGITS Dataset Model Accuracy
MNIST Dataset Model Results
Regression
API
Activation Functions
Featured Activations
Function Descriptions
Objective Functions
Featured Objectives
Function Descriptions
Optimization Functions
Featured Optimizers
Optimization Descriptions
Regularization Functions
Featured Regularizers
Function Descriptions
Weight Initialization
Featured Initializers
Function Descriptions
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Z
A
accuracy() (ztlearn.objectives.BinaryCrossEntropy method)
(ztlearn.objectives.CategoricalCrossEntropy method)
(ztlearn.objectives.HellingerDistance method)
(ztlearn.objectives.HingeLoss method)
(ztlearn.objectives.HuberLoss method)
(ztlearn.objectives.KLDivergence method)
(ztlearn.objectives.MeanSquaredError method)
(ztlearn.objectives.ObjectiveFunction method)
accuracy_score() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
Activation (class in ztlearn.dl.layers.core)
activation() (ztlearn.activations.ElliotSigmoid method)
(ztlearn.activations.ELU method)
(ztlearn.activations.LeakyReLU method)
(ztlearn.activations.Linear method)
(ztlearn.activations.ReLU method)
(ztlearn.activations.SELU method)
(ztlearn.activations.Sigmoid method)
(ztlearn.activations.SoftPlus method)
(ztlearn.activations.Softmax method)
(ztlearn.activations.TanH method)
activation_name (ztlearn.activations.ElliotSigmoid attribute)
(ztlearn.activations.ELU attribute)
(ztlearn.activations.LeakyReLU attribute)
(ztlearn.activations.Linear attribute)
(ztlearn.activations.ReLU attribute)
(ztlearn.activations.SELU attribute)
(ztlearn.activations.Sigmoid attribute)
(ztlearn.activations.SoftPlus attribute)
(ztlearn.activations.Softmax attribute)
(ztlearn.activations.TanH attribute)
ActivationFunction (class in ztlearn.activations)
Adadelta (class in ztlearn.optimizers)
AdaGrad (class in ztlearn.optimizers)
Adam (class in ztlearn.optimizers)
Adamax (class in ztlearn.optimizers)
add() (ztlearn.dl.models.sequential.Sequential method)
add_fuzz_factor() (ztlearn.objectives.Objective method)
added_layers (ztlearn.dl.models.sequential.Sequential attribute)
ALPHA (ztlearn.activations.SELU attribute)
alt_get_output_dims() (in module ztlearn.utils.conv_utils)
append_layer() (ztlearn.dl.models.sequential.Sequential method)
AveragePool2D (class in ztlearn.dl.layers.pooling)
B
backward() (ztlearn.activations.ActivationFunction method)
(ztlearn.objectives.ObjectiveFunction method)
backward_pass() (ztlearn.dl.models.sequential.Sequential method)
BatchNormalization (class in ztlearn.dl.layers.normalization)
BinaryCrossEntropy (class in ztlearn.objectives)
C
CategoricalCrossEntropy (class in ztlearn.objectives)
clip() (ztlearn.objectives.Objective method)
clip_gradients() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
col2im_indices() (in module ztlearn.utils.im2col_utils)
compile() (ztlearn.dl.models.sequential.Sequential method)
compute_fans() (ztlearn.initializers.WeightInitializer method)
computebar() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
Conv (class in ztlearn.dl.layers.convolutional)
Conv2D (class in ztlearn.dl.layers.convolutional)
ConvLoop2D (class in ztlearn.dl.layers.convolutional)
ConvToeplitzMat (class in ztlearn.dl.layers.convolutional)
custom_tuple() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
D
DataSet (class in ztlearn.datasets.data_set)
Dense (class in ztlearn.dl.layers.core)
derivative() (ztlearn.activations.ElliotSigmoid method)
(ztlearn.activations.ELU method)
(ztlearn.activations.LeakyReLU method)
(ztlearn.activations.Linear method)
(ztlearn.activations.ReLU method)
(ztlearn.activations.SELU method)
(ztlearn.activations.Sigmoid method)
(ztlearn.activations.SoftPlus method)
(ztlearn.activations.Softmax method)
(ztlearn.activations.TanH method)
(ztlearn.objectives.BinaryCrossEntropy method)
(ztlearn.objectives.CategoricalCrossEntropy method)
(ztlearn.objectives.HellingerDistance method)
(ztlearn.objectives.HingeLoss method)
(ztlearn.objectives.HuberLoss method)
(ztlearn.objectives.KLDivergence method)
(ztlearn.objectives.MeanSquaredError method)
(ztlearn.regularizers.ElasticNetRegularization method)
(ztlearn.regularizers.L1Regularization method)
(ztlearn.regularizers.L2Regularization method)
(ztlearn.regularizers.RegularizationFunction method)
Dropout (class in ztlearn.dl.layers.core)
E
ElasticNetRegression (class in ztlearn.ml.regression.elasticnet)
ElasticNetRegularization (class in ztlearn.regularizers)
ElliotSigmoid (class in ztlearn.activations)
ELU (class in ztlearn.activations)
Embedding (class in ztlearn.dl.layers.embedding)
error() (ztlearn.objectives.Objective method)
eucledian_norm() (in module ztlearn.utils.data_utils)
evaluate (ztlearn.dl.models.trainer.Trainer attribute)
extract_files() (in module ztlearn.utils.data_utils)
F
fetch_boston() (in module ztlearn.datasets.boston.boston_housing)
fetch_cifar_10() (in module ztlearn.datasets.cifar.cifar_10.cifar_10)
fetch_cifar_100() (in module ztlearn.datasets.cifar.cifar_100.cifar_100)
fetch_digits() (in module ztlearn.datasets.digits.digits)
fetch_fashion_mnist() (in module ztlearn.datasets.fashion.fashion_mnist)
fetch_iris() (in module ztlearn.datasets.iris.iris)
fetch_mnist() (in module ztlearn.datasets.mnist.mnist)
fetch_pima_indians() (in module ztlearn.datasets.pima.pima_indians)
fit (ztlearn.dl.models.trainer.Trainer attribute)
(ztlearn.ml.classification.perceptron.Perceptron attribute)
(ztlearn.ml.regression.base.Regression attribute)
(ztlearn.ml.regression.logistic.LogisticRegression attribute)
fit() (ztlearn.ml.clustering.kmeans.KMeans method)
(ztlearn.ml.decomposition.pca.PCA method)
(ztlearn.ml.regression.elasticnet.ElasticNetRegression method)
(ztlearn.ml.regression.linear.LinearRegression method)
(ztlearn.ml.regression.polynomial.PolynomialRegression method)
fit_NR (ztlearn.ml.regression.logistic.LogisticRegression attribute)
fit_OLS (ztlearn.ml.regression.linear.LinearRegression attribute)
fit_transform() (ztlearn.ml.decomposition.pca.PCA method)
Flatten (class in ztlearn.dl.layers.core)
forward() (ztlearn.activations.ActivationFunction method)
(ztlearn.objectives.ObjectiveFunction method)
foward_pass() (ztlearn.dl.models.sequential.Sequential method)
G
GbOptimization (class in ztlearn.toolkit.optviz)
GD (class in ztlearn.optimizers)
gen_char_sequence_xtym() (in module ztlearn.utils.text_utils)
gen_char_sequence_xtyt() (in module ztlearn.utils.text_utils)
gen_mult_sequence_xtym() (in module ztlearn.utils)
(in module ztlearn.utils.sequence_utils)
gen_mult_sequence_xtyt() (in module ztlearn.utils)
(in module ztlearn.utils.sequence_utils)
get_im2col_indices() (in module ztlearn.utils.im2col_utils)
get_learning_rate() (ztlearn.optimizers.Optimizer method)
get_output_dims() (in module ztlearn.utils.conv_utils)
get_pad() (in module ztlearn.utils.im2col_utils)
get_sentence_tokens() (in module ztlearn.utils.text_utils)
GlorotNormal (class in ztlearn.initializers)
GlorotUniform (class in ztlearn.initializers)
GRU (class in ztlearn.dl.layers.recurrent.gru)
H
HellingerDistance (class in ztlearn.objectives)
HeNormal (class in ztlearn.initializers)
HeUniform (class in ztlearn.initializers)
HingeLoss (class in ztlearn.objectives)
HuberLoss (class in ztlearn.objectives)
I
Identity (class in ztlearn.initializers)
im2col_indices() (in module ztlearn.utils.im2col_utils)
init_method (ztlearn.dl.models.sequential.Sequential attribute)
init_name (ztlearn.initializers.GlorotNormal attribute)
(ztlearn.initializers.GlorotUniform attribute)
(ztlearn.initializers.HeNormal attribute)
(ztlearn.initializers.HeUniform attribute)
(ztlearn.initializers.Identity attribute)
(ztlearn.initializers.LeCunNormal attribute)
(ztlearn.initializers.LeCunUniform attribute)
(ztlearn.initializers.One attribute)
(ztlearn.initializers.RandomNormal attribute)
(ztlearn.initializers.RandomUniform attribute)
(ztlearn.initializers.Zero attribute)
initialize_weights() (ztlearn.initializers.InitializeWeights method)
InitializeWeights (class in ztlearn.initializers)
input_shape (ztlearn.dl.layers.base.Layer attribute)
inverse_transform() (ztlearn.ml.decomposition.pca.PCA method)
is_trainable (ztlearn.dl.models.sequential.Sequential attribute)
K
KLDivergence (class in ztlearn.objectives)
KMeans (class in ztlearn.ml.clustering.kmeans)
KNN (class in ztlearn.ml.classification.knn)
L
L1Regularization (class in ztlearn.regularizers)
L2Regularization (class in ztlearn.regularizers)
Layer (class in ztlearn.dl.layers.base)
layer_activation (ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
layer_name (ztlearn.dl.layers.base.Layer attribute)
(ztlearn.dl.layers.core.Activation attribute)
layer_num (ztlearn.dl.models.sequential.Sequential attribute)
layer_parameters (ztlearn.dl.layers.base.Layer attribute)
(ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.embedding.Embedding attribute)
(ztlearn.dl.layers.normalization.BatchNormalization attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
LayerNormalization1D (class in ztlearn.dl.layers.normalization)
layers (ztlearn.dl.models.sequential.Sequential attribute)
LeakyReLU (class in ztlearn.activations)
LeCunNormal (class in ztlearn.initializers)
LeCunUniform (class in ztlearn.initializers)
Linear (class in ztlearn.activations)
LinearRegression (class in ztlearn.ml.regression.linear)
LogIfBusy (class in ztlearn.utils.time_deco_utils)
LogisticRegression (class in ztlearn.ml.regression.logistic)
longest_sentence() (in module ztlearn.utils.text_utils)
loss() (ztlearn.objectives.BinaryCrossEntropy method)
(ztlearn.objectives.CategoricalCrossEntropy method)
(ztlearn.objectives.HellingerDistance method)
(ztlearn.objectives.HingeLoss method)
(ztlearn.objectives.HuberLoss method)
(ztlearn.objectives.KLDivergence method)
(ztlearn.objectives.MeanSquaredError method)
LSTM (class in ztlearn.dl.layers.recurrent.lstm)
M
MaxPooling2D (class in ztlearn.dl.layers.pooling)
maybe_download() (in module ztlearn.utils.data_utils)
MeanSquaredError (class in ztlearn.objectives)
min_max() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
minibatches() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
model_name (ztlearn.dl.models.sequential.Sequential attribute)
model_weights (ztlearn.ml.classification.perceptron.Perceptron attribute)
N
name (ztlearn.activations.ActivationFunction attribute)
(ztlearn.initializers.InitializeWeights attribute)
(ztlearn.objectives.ObjectiveFunction attribute)
(ztlearn.optimizers.OptimizationFunction attribute)
(ztlearn.regularizers.RegularizationFunction attribute)
NesterovAcceleratedGradient (class in ztlearn.optimizers)
normalize() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
npstring() (ztlearn.toolkit.optviz.GbOptimization method)
O
Objective (class in ztlearn.objectives)
objective_name (ztlearn.objectives.BinaryCrossEntropy attribute)
(ztlearn.objectives.CategoricalCrossEntropy attribute)
(ztlearn.objectives.HellingerDistance attribute)
(ztlearn.objectives.HingeLoss attribute)
(ztlearn.objectives.HuberLoss attribute)
(ztlearn.objectives.KLDivergence attribute)
(ztlearn.objectives.MeanSquaredError attribute)
(ztlearn.objectives.Objective attribute)
ObjectiveFunction (class in ztlearn.objectives)
One (class in ztlearn.initializers)
one_hot() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
optimization_name (ztlearn.optimizers.Adadelta attribute)
(ztlearn.optimizers.AdaGrad attribute)
(ztlearn.optimizers.Adam attribute)
(ztlearn.optimizers.Adamax attribute)
(ztlearn.optimizers.NesterovAcceleratedGradient attribute)
(ztlearn.optimizers.RMSprop attribute)
(ztlearn.optimizers.SGD attribute)
(ztlearn.optimizers.SGDMomentum attribute)
OptimizationFunction (class in ztlearn.optimizers)
Optimizer (class in ztlearn.optimizers)
output_shape (ztlearn.dl.layers.base.Layer attribute)
(ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Activation attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.core.Dropout attribute)
(ztlearn.dl.layers.core.Flatten attribute)
(ztlearn.dl.layers.core.Reshape attribute)
(ztlearn.dl.layers.core.UpSampling2D attribute)
(ztlearn.dl.layers.embedding.Embedding attribute)
(ztlearn.dl.layers.normalization.BatchNormalization attribute)
(ztlearn.dl.layers.normalization.LayerNormalization1D attribute)
(ztlearn.dl.layers.pooling.Pool attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
P
pad_sequence() (in module ztlearn.utils.text_utils)
pass_backward() (ztlearn.dl.layers.base.Layer method)
(ztlearn.dl.layers.convolutional.Conv2D method)
(ztlearn.dl.layers.convolutional.ConvLoop2D method)
(ztlearn.dl.layers.convolutional.ConvToeplitzMat method)
(ztlearn.dl.layers.core.Activation method)
(ztlearn.dl.layers.core.Dense method)
(ztlearn.dl.layers.core.Dropout method)
(ztlearn.dl.layers.core.Flatten method)
(ztlearn.dl.layers.core.Reshape method)
(ztlearn.dl.layers.core.UpSampling2D method)
(ztlearn.dl.layers.embedding.Embedding method)
(ztlearn.dl.layers.normalization.BatchNormalization method)
(ztlearn.dl.layers.normalization.LayerNormalization1D method)
(ztlearn.dl.layers.pooling.Pool method)
(ztlearn.dl.layers.recurrent.gru.GRU method)
(ztlearn.dl.layers.recurrent.lstm.LSTM method)
(ztlearn.dl.layers.recurrent.rnn.RNN method)
pass_forward() (ztlearn.dl.layers.base.Layer method)
(ztlearn.dl.layers.convolutional.Conv2D method)
(ztlearn.dl.layers.convolutional.ConvLoop2D method)
(ztlearn.dl.layers.convolutional.ConvToeplitzMat method)
(ztlearn.dl.layers.core.Activation method)
(ztlearn.dl.layers.core.Dense method)
(ztlearn.dl.layers.core.Dropout method)
(ztlearn.dl.layers.core.Flatten method)
(ztlearn.dl.layers.core.Reshape method)
(ztlearn.dl.layers.core.UpSampling2D method)
(ztlearn.dl.layers.embedding.Embedding method)
(ztlearn.dl.layers.normalization.BatchNormalization method)
(ztlearn.dl.layers.normalization.LayerNormalization1D method)
(ztlearn.dl.layers.pooling.Pool method)
(ztlearn.dl.layers.recurrent.gru.GRU method)
(ztlearn.dl.layers.recurrent.lstm.LSTM method)
(ztlearn.dl.layers.recurrent.rnn.RNN method)
PCA (class in ztlearn.ml.decomposition.pca)
Perceptron (class in ztlearn.ml.classification.perceptron)
plot_2d() (ztlearn.toolkit.optviz.GbOptimization method)
plot_3d() (ztlearn.toolkit.optviz.GbOptimization method)
plot_generated_img_samples() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_img_results() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_img_samples() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_kmeans() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_metric() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_opt_viz() (in module ztlearn.utils.plot_utils)
plot_pca() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_regression_results() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plot_tiled_img_samples() (in module ztlearn.utils)
(in module ztlearn.utils.plot_utils)
plotter() (in module ztlearn.utils.plot_utils)
polynomial_features() (in module ztlearn.utils.data_utils)
PolynomialRegression (class in ztlearn.ml.regression.polynomial)
Pool (class in ztlearn.dl.layers.pooling)
pool_backward() (ztlearn.dl.layers.pooling.AveragePool2D method)
(ztlearn.dl.layers.pooling.MaxPooling2D method)
pool_forward() (ztlearn.dl.layers.pooling.AveragePool2D method)
(ztlearn.dl.layers.pooling.MaxPooling2D method)
predict() (ztlearn.dl.models.trainer.Trainer method)
(ztlearn.ml.classification.perceptron.Perceptron method)
(ztlearn.ml.regression.base.Regression method)
(ztlearn.ml.regression.elasticnet.ElasticNetRegression method)
(ztlearn.ml.regression.logistic.LogisticRegression method)
(ztlearn.ml.regression.polynomial.PolynomialRegression method)
prep_layer() (ztlearn.dl.layers.convolutional.Conv method)
(ztlearn.dl.layers.core.Activation method)
(ztlearn.dl.layers.core.Dense method)
(ztlearn.dl.layers.core.Dropout method)
(ztlearn.dl.layers.core.Flatten method)
(ztlearn.dl.layers.core.Reshape method)
(ztlearn.dl.layers.core.UpSampling2D method)
(ztlearn.dl.layers.embedding.Embedding method)
(ztlearn.dl.layers.normalization.BatchNormalization method)
(ztlearn.dl.layers.normalization.LayerNormalization1D method)
(ztlearn.dl.layers.pooling.Pool method)
(ztlearn.dl.layers.recurrent.gru.GRU method)
(ztlearn.dl.layers.recurrent.lstm.LSTM method)
(ztlearn.dl.layers.recurrent.rnn.RNN method)
print_pad() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
print_results() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
print_seq_results() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
print_seq_samples() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
R
RandomNormal (class in ztlearn.initializers)
RandomUniform (class in ztlearn.initializers)
range_normalize() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
register_opt() (in module ztlearn.optimizers)
Regression (class in ztlearn.ml.regression.base)
RegularizationFunction (class in ztlearn.regularizers)
regulate() (ztlearn.regularizers.ElasticNetRegularization method)
(ztlearn.regularizers.L1Regularization method)
(ztlearn.regularizers.L2Regularization method)
(ztlearn.regularizers.RegularizationFunction method)
regulation_name (ztlearn.regularizers.ElasticNetRegularization attribute)
(ztlearn.regularizers.L1Regularization attribute)
(ztlearn.regularizers.L2Regularization attribute)
ReLU (class in ztlearn.activations)
Reshape (class in ztlearn.dl.layers.core)
RMSprop (class in ztlearn.optimizers)
RNN (class in ztlearn.dl.layers.recurrent.rnn)
run() (ztlearn.toolkit.optviz.GbOptimization method)
S
SELU (class in ztlearn.activations)
Sequential (class in ztlearn.dl.models.sequential)
SGD (class in ztlearn.optimizers)
SGDMomentum (class in ztlearn.optimizers)
shuffle_data() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
Sigmoid (class in ztlearn.activations)
Softmax (class in ztlearn.activations)
SoftPlus (class in ztlearn.activations)
SQRT_2 (ztlearn.objectives.HellingerDistance attribute)
sqrt_difference() (ztlearn.objectives.HellingerDistance method)
summary() (ztlearn.dl.models.sequential.Sequential method)
T
TanH (class in ztlearn.activations)
test_on_batch() (ztlearn.dl.models.trainer.Trainer method)
train_on_batch() (ztlearn.dl.models.trainer.Trainer method)
train_test_split() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
trainable (ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Activation attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.core.Dropout attribute)
(ztlearn.dl.layers.core.Flatten attribute)
(ztlearn.dl.layers.core.Reshape attribute)
(ztlearn.dl.layers.core.UpSampling2D attribute)
(ztlearn.dl.layers.embedding.Embedding attribute)
(ztlearn.dl.layers.normalization.BatchNormalization attribute)
(ztlearn.dl.layers.normalization.LayerNormalization1D attribute)
(ztlearn.dl.layers.pooling.Pool attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
(ztlearn.dl.models.sequential.Sequential attribute)
Trainer (class in ztlearn.dl.models.trainer)
transform (ztlearn.ml.decomposition.pca.PCA attribute)
U
unhot() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
unroll_inputs() (in module ztlearn.utils.conv_utils)
update() (ztlearn.optimizers.Adadelta method)
(ztlearn.optimizers.AdaGrad method)
(ztlearn.optimizers.Adam method)
(ztlearn.optimizers.Adamax method)
(ztlearn.optimizers.NesterovAcceleratedGradient method)
(ztlearn.optimizers.OptimizationFunction method)
(ztlearn.optimizers.RMSprop method)
(ztlearn.optimizers.SGD method)
(ztlearn.optimizers.SGDMomentum method)
UpSampling2D (class in ztlearn.dl.layers.core)
W
weight_initializer (ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.embedding.Embedding attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
weight_optimizer (ztlearn.dl.layers.convolutional.Conv attribute)
(ztlearn.dl.layers.core.Dense attribute)
(ztlearn.dl.layers.embedding.Embedding attribute)
(ztlearn.dl.layers.normalization.BatchNormalization attribute)
(ztlearn.dl.layers.normalization.LayerNormalization1D attribute)
(ztlearn.dl.layers.recurrent.gru.GRU attribute)
(ztlearn.dl.layers.recurrent.lstm.LSTM attribute)
(ztlearn.dl.layers.recurrent.rnn.RNN attribute)
WeightInitializer (class in ztlearn.initializers)
weights() (ztlearn.initializers.GlorotNormal method)
(ztlearn.initializers.GlorotUniform method)
(ztlearn.initializers.HeNormal method)
(ztlearn.initializers.HeUniform method)
(ztlearn.initializers.Identity method)
(ztlearn.initializers.LeCunNormal method)
(ztlearn.initializers.LeCunUniform method)
(ztlearn.initializers.One method)
(ztlearn.initializers.RandomNormal method)
(ztlearn.initializers.RandomUniform method)
(ztlearn.initializers.Zero method)
Z
z_score() (in module ztlearn.utils)
(in module ztlearn.utils.data_utils)
Zero (class in ztlearn.initializers)
ztlearn (module)
ztlearn.activations (module)
ztlearn.datasets (module)
ztlearn.datasets.boston.boston_housing (module)
ztlearn.datasets.cifar (module)
ztlearn.datasets.cifar.cifar_10.cifar_10 (module)
ztlearn.datasets.cifar.cifar_100.cifar_100 (module)
ztlearn.datasets.data_set (module)
ztlearn.datasets.digits (module)
ztlearn.datasets.digits.digits (module)
ztlearn.datasets.fashion (module)
ztlearn.datasets.fashion.fashion_mnist (module)
ztlearn.datasets.iris (module)
ztlearn.datasets.iris.iris (module)
ztlearn.datasets.mnist (module)
ztlearn.datasets.mnist.mnist (module)
ztlearn.datasets.pima (module)
ztlearn.datasets.pima.pima_indians (module)
ztlearn.dl.layers (module)
ztlearn.dl.layers.base (module)
ztlearn.dl.layers.convolutional (module)
ztlearn.dl.layers.core (module)
ztlearn.dl.layers.embedding (module)
ztlearn.dl.layers.normalization (module)
ztlearn.dl.layers.pooling (module)
ztlearn.dl.layers.recurrent (module)
ztlearn.dl.layers.recurrent.gru (module)
ztlearn.dl.layers.recurrent.lstm (module)
ztlearn.dl.layers.recurrent.rnn (module)
ztlearn.dl.models (module)
ztlearn.dl.models.sequential (module)
ztlearn.dl.models.trainer (module)
ztlearn.initializers (module)
ztlearn.ml.classification (module)
ztlearn.ml.classification.knn (module)
ztlearn.ml.classification.perceptron (module)
ztlearn.ml.clustering (module)
ztlearn.ml.clustering.kmeans (module)
ztlearn.ml.decomposition (module)
ztlearn.ml.decomposition.pca (module)
ztlearn.ml.regression (module)
ztlearn.ml.regression.base (module)
ztlearn.ml.regression.elasticnet (module)
ztlearn.ml.regression.linear (module)
ztlearn.ml.regression.logistic (module)
ztlearn.ml.regression.polynomial (module)
ztlearn.objectives (module)
ztlearn.optimizers (module)
ztlearn.regularizers (module)
ztlearn.toolkit (module)
ztlearn.toolkit.optviz (module)
ztlearn.utils (module)
ztlearn.utils.conv_utils (module)
ztlearn.utils.data_utils (module)
ztlearn.utils.im2col_utils (module)
ztlearn.utils.plot_utils (module)
ztlearn.utils.sequence_utils (module)
ztlearn.utils.text_utils (module)
ztlearn.utils.time_deco_utils (module)