Method List

Classes Methods Files

Search:

#<< DNN::Layers::InputLayer
#<< DNN::Layers::Embedding
#>> DNN::Layers::Embedding
#>> DNN::Layers::InputLayer
#accuracy DNN::Models::Model
#activation DNN::Layers::SimpleRNN
#add DNN::Models::Sequential
#add_callback DNN::Models::Model
#after_epoch DNN::Callbacks::CheckPoint
#after_epoch DNN::Callbacks::EarlyStopping
#after_epoch DNN::Callbacks::Logger
#after_train_on_batch DNN::Callbacks::EarlyStopping
#after_train_on_batch DNN::Callbacks::NaNStopping
#after_train_on_batch DNN::Callbacks::Logger
#alpha DNN::Optimizers::RMSProp
#alpha DNN::Layers::LeakyReLU
#alpha DNN::Optimizers::Adam
#alpha DNN::Optimizers::RMSPropGraves
#alpha DNN::Layers::ELU
#amsgrad DNN::Optimizers::Adam
#axis DNN::Layers::BatchNormalization
#axis DNN::MergeLayers::Concatenate
#backward DNN::Regularizers::L2
#backward DNN::Layers::ReLU
#backward DNN::Layers::BatchNormalization
#backward DNN::Layers::MaxPool2D
#backward DNN::Losses::MeanAbsoluteError
#backward DNN::Layers::Conv2D
#backward DNN::Layers::Layer
#backward DNN::Layers::Softsign
#backward DNN::Layers::Tanh
#backward DNN::Losses::SoftmaxCrossEntropy
#backward DNN::MergeLayers::Add
#backward DNN::Layers::LSTMDense
#backward DNN::Layers::Reshape
#backward DNN::Layers::Embedding
#backward DNN::MergeLayers::Concatenate
#backward DNN::Losses::SigmoidCrossEntropy
#backward DNN::Regularizers::L1
#backward DNN::Layers::Swish
#backward DNN::TwoInputLink
#backward DNN::Losses::Hinge
#backward DNN::MergeLayers::Mul
#backward DNN::Layers::Softplus
#backward DNN::Link
#backward DNN::Layers::Dense
#backward DNN::Losses::MeanSquaredError
#backward DNN::Layers::Dropout
#backward DNN::Layers::LeakyReLU
#backward DNN::Losses::Loss
#backward DNN::Layers::RNN
#backward DNN::Regularizers::L1L2
#backward DNN::Layers::Sigmoid
#backward DNN::Layers::SimpleRNNDense
#backward DNN::Layers::Flatten
#backward DNN::Layers::GRUDense
#backward DNN::Layers::InputLayer
#backward DNN::Regularizers::Regularizer
#backward DNN::Layers::LSTM
#backward DNN::Layers::Conv2DTranspose
#backward DNN::Layers::AvgPool2D
#backward DNN::Layers::ELU
#backward DNN::Layers::UnPool2D
#backward DNN::Losses::HuberLoss
#beta DNN::Layers::BatchNormalization
#beta1 DNN::Optimizers::Adam
#beta2 DNN::Optimizers::Adam
#bias DNN::Layers::Connection
#bias_initializer DNN::Layers::Connection
#bias_regularizer DNN::Layers::Connection
#build DNN::Layers::Dense
#build DNN::Layers::UnPool2D
#build DNN::Layers::Conv2DTranspose
#build DNN::Layers::SimpleRNN
#build DNN::Layers::InputLayer
#build DNN::Layers::GRU
#build DNN::Layers::Layer
#build DNN::Layers::Pool2D
#build DNN::Layers::LSTM
#build DNN::Layers::RNN
#build DNN::Layers::Conv2D
#build DNN::Layers::BatchNormalization
#build DNN::Layers::Embedding
#built? DNN::Layers::Layer
#built? DNN::Models::Model
#call DNN::Models::Sequential
#call DNN::Layers::Embedding
#call DNN::Layers::InputLayer
#call DNN::MergeLayers::MergeLayer
call DNN::Layers::Layer
#call DNN::Layers::Layer
call DNN::MergeLayers::MergeLayer
call DNN::Layers::InputLayer
#cell DNN::Layers::LSTM
#clear_callbacks DNN::Models::Model
#clip_norm DNN::Optimizers::Optimizer
#const DNN::Initializers::Const
#copy DNN::Models::Model
#data DNN::Tensor
#data DNN::Param
download DNN::Downloader
#download DNN::Downloader
downloads DNN::Iris
downloads DNN::CIFAR100
downloads DNN::FashionMNIST
downloads DNN::MNIST
downloads DNN::CIFAR10
#dropout_ratio DNN::Layers::Dropout
#dump DNN::Optimizers::Optimizer
#eps DNN::Losses::SoftmaxCrossEntropy
#eps DNN::Layers::BatchNormalization
#eps DNN::Optimizers::AdaGrad
#eps DNN::Optimizers::RMSPropGraves
#eps DNN::Optimizers::RMSProp
#eps DNN::Optimizers::Adam
#eps DNN::Losses::SigmoidCrossEntropy
#eps DNN::Optimizers::AdaDelta
#filter_size DNN::Layers::Conv2DTranspose
#filter_size DNN::Layers::Conv2D
#filters DNN::Layers::Conv2DTranspose
#filters DNN::Layers::Conv2D
#filters= DNN::Layers::Conv2DTranspose
#filters= DNN::Layers::Conv2D
#final_lr DNN::Optimizers::AdaBound
#foreach DNN::Iterator
#forward DNN::Losses::SoftmaxCrossEntropy
#forward DNN::Losses::Hinge
#forward DNN::Losses::MeanAbsoluteError
#forward DNN::Losses::MeanSquaredError
#forward DNN::Losses::HuberLoss
#forward DNN::Losses::Loss
#forward DNN::Layers::Dropout
#forward DNN::Layers::BatchNormalization
#forward DNN::Layers::LSTM
#forward DNN::Layers::Flatten
#forward DNN::Layers::Reshape
#forward DNN::MergeLayers::Mul
#forward DNN::Layers::AvgPool2D
#forward DNN::Layers::Dense
#forward DNN::Layers::Sigmoid
#forward DNN::Layers::InputLayer
#forward DNN::Layers::SimpleRNNDense
#forward DNN::Layers::MaxPool2D
#forward DNN::Regularizers::L1L2
#forward DNN::Layers::Swish
#forward DNN::Layers::Layer
#forward DNN::Layers::LeakyReLU
#forward DNN::Layers::Softplus
#forward DNN::MergeLayers::Concatenate
#forward DNN::MergeLayers::Add
#forward DNN::Regularizers::L2
#forward DNN::Layers::Tanh
#forward DNN::Layers::UnPool2D
#forward DNN::Layers::Embedding
#forward DNN::Layers::ELU
#forward DNN::Layers::Conv2DTranspose
#forward DNN::Layers::RNN
#forward DNN::Regularizers::L1
#forward DNN::Regularizers::Regularizer
#forward DNN::Layers::GRUDense
#forward DNN::Losses::SigmoidCrossEntropy
#forward DNN::Layers::Softsign
#forward DNN::Layers::Conv2D
#forward DNN::Layers::ReLU
#forward DNN::Layers::LSTMDense
from_hash DNN::Initializers::Initializer
from_hash DNN::Losses::Loss
from_hash DNN::Optimizers::Optimizer
from_hash DNN::Layers::Layer
from_hash DNN::Regularizers::Regularizer
#gamma DNN::Layers::BatchNormalization
#gamma DNN::Optimizers::AdaBound
#get_layer DNN::Models::Model
#get_log DNN::Callbacks::Logger
#get_params DNN::Layers::Embedding
#get_params DNN::Layers::LSTM
#get_params DNN::Layers::RNN
#get_params DNN::Layers::Connection
#get_params DNN::Layers::BatchNormalization
#get_params DNN::Layers::HasParamLayer
#grad DNN::Param
#has_next? DNN::Iterator
#has_param_layers DNN::Models::Model
hash_to_obj DNN::Utils
#hidden DNN::Layers::RNN
#init_param DNN::Initializers::He
#init_param DNN::Initializers::RandomUniform
#init_param DNN::Initializers::RandomNormal
#init_param DNN::Initializers::Xavier
#init_param DNN::Initializers::Initializer
#init_param DNN::Initializers::Const
#init_param DNN::Initializers::Zeros
#initialize DNN::Layers::Embedding
#initialize DNN::Callbacks::Logger
#initialize DNN::Callbacks::LambdaCallback
#initialize DNN::Callbacks::CheckPoint
#initialize DNN::Callbacks::EarlyStopping
#initialize DNN::Iterator
#initialize DNN::Layers::LeakyReLU
#initialize DNN::Optimizers::AdaBound
#initialize DNN::Savers::MarshalSaver
#initialize DNN::Savers::Saver
#initialize DNN::Layers::GRU
#initialize DNN::Layers::RNN
#initialize DNN::Models::Sequential
#initialize DNN::Loaders::Loader
#initialize DNN::Downloader
#initialize DNN::Initializers::Initializer
#initialize DNN::Tensor
#initialize DNN::Models::Model
#initialize DNN::MergeLayers::Concatenate
#initialize DNN::Losses::SigmoidCrossEntropy
#initialize DNN::Layers::GRUDense
#initialize DNN::Optimizers::RMSProp
#initialize DNN::Losses::SoftmaxCrossEntropy
#initialize DNN::Layers::BatchNormalization
#initialize DNN::Layers::SimpleRNNDense
#initialize DNN::Initializers::RandomNormal
#initialize DNN::Layers::Dropout
#initialize DNN::Layers::Reshape
#initialize DNN::Layers::Dense
#initialize DNN::Layers::Connection
#initialize DNN::Initializers::He
#initialize DNN::Layers::ELU
#initialize DNN::Layers::InputLayer
#initialize DNN::Layers::HasParamLayer
#initialize DNN::Layers::Layer
#initialize DNN::Param
#initialize DNN::Optimizers::AdaDelta
#initialize DNN::TwoInputLink
#initialize DNN::Initializers::Const
#initialize DNN::Link
#initialize DNN::Layers::LSTM
#initialize DNN::Optimizers::AdaGrad
#initialize DNN::Regularizers::L2
#initialize DNN::Layers::Conv2DTranspose
#initialize DNN::Optimizers::Adam
#initialize DNN::Layers::SimpleRNN
#initialize DNN::Layers::UnPool2D
#initialize DNN::Regularizers::L1L2
#initialize DNN::Layers::Pool2D
#initialize DNN::Optimizers::Optimizer
#initialize DNN::Optimizers::RMSPropGraves
#initialize DNN::Initializers::Xavier
#initialize DNN::Layers::Conv2D
#initialize DNN::Initializers::RandomUniform
#initialize DNN::Layers::LSTMDense
#initialize DNN::Regularizers::L1
#initialize DNN::Optimizers::SGD
#initialize DNN::Optimizers::Nesterov
#input_length DNN::Layers::Embedding
#input_shape DNN::Layers::Layer
#l1_lambda DNN::Regularizers::L1
#l1_lambda DNN::Regularizers::L1L2
#l2_lambda DNN::Regularizers::L1L2
#l2_lambda DNN::Regularizers::L2
#last_log DNN::Models::Model
#last_round_down DNN::Iterator
#layer DNN::TwoInputLink
#layer DNN::Link
#layers DNN::Models::Model
learning_phase DNN
learning_phase= DNN
#link DNN::Tensor
load DNN::Iris
#load DNN::Loaders::Loader
load DNN::Models::Model
load DNN::Optimizers::Optimizer
load_binary DNN::CIFAR10
load_binary DNN::CIFAR100
#load_hash DNN::Layers::UnPool2D
#load_hash DNN::Regularizers::Regularizer
#load_hash DNN::Regularizers::L1
#load_hash DNN::Layers::Pool2D
#load_hash DNN::Optimizers::AdaBound
#load_hash DNN::Layers::Conv2DTranspose
#load_hash DNN::Layers::Conv2D
#load_hash DNN::Layers::Embedding
#load_hash DNN::Optimizers::AdaDelta
#load_hash DNN::Optimizers::RMSProp
#load_hash DNN::Optimizers::AdaGrad
#load_hash DNN::Optimizers::SGD
#load_hash DNN::Optimizers::Adam
#load_hash DNN::Optimizers::RMSPropGraves
#load_hash DNN::Optimizers::Optimizer
#load_hash DNN::MergeLayers::Concatenate
#load_hash DNN::Initializers::RandomNormal
#load_hash DNN::Layers::LeakyReLU
#load_hash DNN::Layers::ELU
#load_hash DNN::Losses::SigmoidCrossEntropy
#load_hash DNN::Initializers::Initializer
#load_hash DNN::Initializers::RandomUniform
#load_hash DNN::Regularizers::L2
#load_hash DNN::Losses::Loss
#load_hash DNN::Layers::Dropout
#load_hash DNN::Layers::BatchNormalization
#load_hash DNN::Layers::Reshape
#load_hash DNN::Layers::Dense
#load_hash DNN::Regularizers::L1L2
#load_hash DNN::Initializers::Const
#load_hash DNN::Layers::InputLayer
#load_hash DNN::Losses::SoftmaxCrossEntropy
#load_hash DNN::Layers::Layer
#load_hash DNN::Layers::SimpleRNN
#load_hash DNN::Layers::RNN
load_test DNN::FashionMNIST
load_test DNN::MNIST
load_test DNN::CIFAR100
load_test DNN::CIFAR10
load_train DNN::MNIST
load_train DNN::CIFAR100
load_train DNN::FashionMNIST
load_train DNN::CIFAR10
#loss DNN::Losses::Loss
#loss_func DNN::Models::Model
#lr DNN::Optimizers::RMSPropGraves
#lr DNN::Optimizers::RMSProp
#lr DNN::Optimizers::AdaGrad
#lr DNN::Optimizers::SGD
#max DNN::Initializers::RandomUniform
#mean DNN::Initializers::RandomNormal
#min DNN::Initializers::RandomUniform
#model DNN::Callbacks::Callback
#momentum DNN::Optimizers::SGD
#momentum DNN::Layers::BatchNormalization
#name DNN::Param
#name DNN::Layers::Layer
#next_batch DNN::Iterator
#num_datas DNN::Iterator
#num_filters DNN::Layers::Conv2DTranspose
#num_filters DNN::Layers::Conv2D
#num_nodes DNN::Layers::Dense
#num_nodes DNN::Layers::RNN
#optimizer DNN::Models::Model
#output_shape DNN::Layers::UnPool2D
#output_shape DNN::Layers::Pool2D
#output_shape DNN::Layers::Conv2DTranspose
#output_shape DNN::Layers::Conv2D
#output_shape DNN::Layers::Reshape
#output_shape DNN::Layers::Flatten
#output_shape DNN::Layers::Dense
#output_shape DNN::Layers::Layer
#output_shape DNN::Layers::RNN
#padding DNN::Layers::Pool2D
#padding DNN::Layers::Conv2DTranspose
#padding DNN::Layers::Conv2D
#param DNN::Regularizers::Regularizer
#pool_size DNN::Layers::Pool2D
#predict DNN::Models::Model
#predict1 DNN::Models::Model
#prev DNN::Link
#prev1 DNN::TwoInputLink
#prev2 DNN::TwoInputLink
read DNN::Image
#recurrent_weight DNN::Layers::RNN
#recurrent_weight_initializer DNN::Layers::RNN
#recurrent_weight_regularizer DNN::Layers::RNN
#regularizers DNN::Layers::Embedding
#regularizers DNN::Layers::Connection
#regularizers DNN::Layers::RNN
#regularizers_backward DNN::Losses::Loss
#regularizers_forward DNN::Losses::Loss
#remove DNN::Models::Sequential
#reset DNN::Iterator
#reset_state DNN::Layers::LSTM
#reset_state DNN::Layers::RNN
resize DNN::Image
#return_sequences DNN::Layers::RNN
#rho DNN::Optimizers::AdaDelta
#running_mean DNN::Layers::BatchNormalization
#running_var DNN::Layers::BatchNormalization
#save DNN::Savers::Saver
#save DNN::Models::Model
#setup DNN::Models::Model
sigmoid DNN::Losses::SigmoidCrossEntropy
sigmoid DNN::Utils
softmax DNN::Losses::SoftmaxCrossEntropy
softmax DNN::Utils
#stack DNN::Models::Sequential
#stateful DNN::Layers::RNN
#status DNN::Optimizers::Optimizer
stbi_load DNN::Stb
stbi_write_bmp DNN::Stb
stbi_write_hdr DNN::Stb
stbi_write_jpg DNN::Stb
stbi_write_png DNN::Stb
stbi_write_tga DNN::Stb
stbir_resize_uint8 DNN::Stb
stbir_resize_uint8_srgb DNN::Stb
stbir_resize_uint8_srgb_edgemode DNN::Stb
#std DNN::Initializers::RandomNormal
#strides DNN::Layers::Conv2DTranspose
#strides DNN::Layers::Conv2D
#strides DNN::Layers::Pool2D
#test_on_batch DNN::Models::Model
to_categorical DNN::Utils
to_gray_scale DNN::Image
#to_hash DNN::Optimizers::Adam
#to_hash DNN::Optimizers::RMSPropGraves
#to_hash DNN::Optimizers::AdaDelta
#to_hash DNN::Optimizers::RMSProp
#to_hash DNN::Optimizers::AdaGrad
#to_hash DNN::Optimizers::SGD
#to_hash DNN::Optimizers::AdaBound
#to_hash DNN::Layers::UnPool2D
#to_hash DNN::Layers::Pool2D
#to_hash DNN::Optimizers::Optimizer
#to_hash DNN::Layers::Conv2DTranspose
#to_hash DNN::Layers::Embedding
#to_hash DNN::Layers::Conv2D
#to_hash DNN::Regularizers::Regularizer
#to_hash DNN::Losses::SigmoidCrossEntropy
#to_hash DNN::Losses::Loss
#to_hash DNN::Layers::Dropout
#to_hash DNN::Layers::Reshape
#to_hash DNN::Layers::Dense
#to_hash DNN::Losses::SoftmaxCrossEntropy
#to_hash DNN::Layers::Connection
#to_hash DNN::Layers::InputLayer
#to_hash DNN::Layers::Layer
#to_hash DNN::Layers::BatchNormalization
#to_hash DNN::MergeLayers::Concatenate
#to_hash DNN::Initializers::RandomNormal
#to_hash DNN::Initializers::RandomUniform
#to_hash DNN::Initializers::Const
#to_hash DNN::Initializers::Initializer
#to_hash DNN::Layers::LeakyReLU
#to_hash DNN::Layers::ELU
#to_hash DNN::Layers::SimpleRNN
#to_hash DNN::Layers::RNN
#to_hash DNN::Regularizers::L1L2
#to_hash DNN::Regularizers::L2
#to_hash DNN::Regularizers::L1
#to_proc DNN::Layers::Embedding
#to_proc DNN::Layers::InputLayer
#train DNN::Models::Model
#train_by_iterator DNN::Models::Model
#train_on_batch DNN::Models::Model
#trainable DNN::Layers::HasParamLayer
#trainable DNN::Layers::GRUDense
#trainable DNN::Layers::LSTMDense
#trainable DNN::Layers::SimpleRNNDense
trim DNN::Image
#unpool_size DNN::Layers::UnPool2D
#update DNN::Optimizers::Optimizer
#use_bias DNN::Layers::Connection
#use_scale DNN::Layers::Dropout
#weight DNN::Layers::Embedding
#weight DNN::Layers::Connection
#weight_initializer DNN::Layers::Embedding
#weight_initializer DNN::Layers::Connection
#weight_regularizer DNN::Layers::Embedding
#weight_regularizer DNN::Layers::Connection
write DNN::Image