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#<< DNN::Model
#accurate DNN::Model
#activation DNN::Layers::SimpleRNN
#alpha DNN::Activations::ELU
#alpha DNN::Optimizers::RMSProp
#alpha DNN::Activations::LeakyReLU
#backward DNN::Activations::ReLU
#backward DNN::Layers::RNN
#backward DNN::Layers::Layer
#backward DNN::Layers::Reshape
#backward DNN::Activations::Tanh
#backward DNN::Activations::Sigmoid
#backward DNN::Losses::HuberLoss
#backward DNN::Layers::UnPool2D
#backward DNN::Layers::Conv2D
#backward DNN::Layers::BatchNormalization
#backward DNN::Layers::Dropout
#backward DNN::Activations::Softplus
#backward DNN::Layers::MaxPool2D
#backward DNN::Layers::Flatten
#backward DNN::Activations::Softsign
#backward DNN::Losses::MeanSquaredError
#backward DNN::Layers::AvgPool2D
#backward DNN::Losses::SoftmaxCrossEntropy
#backward DNN::Losses::SigmoidCrossEntropy
#backward DNN::Layers::InputLayer
#backward DNN::Activations::ELU
#backward DNN::Activations::Swish
#backward DNN::Layers::SimpleRNN_Dense
#backward DNN::Layers::LSTM
#backward DNN::Activations::LeakyReLU
#backward DNN::Layers::LSTM_Dense
#backward DNN::Layers::GRU_Dense
#backward DNN::Layers::Dense
#backward DNN::Losses::MeanAbsoluteError
#backward DNN::Losses::Loss
#backward DNN::Model
#beta1 DNN::Optimizers::Adam
#beta2 DNN::Optimizers::Adam
#bias DNN::Layers::RNN
#bias_initializer DNN::Layers::Connection
#build DNN::Layers::Layer
#build DNN::Model
#build DNN::Layers::HasParamLayer
#build DNN::Layers::Pool2D
#build DNN::Layers::UnPool2D
#build DNN::Layers::InputLayer
#build DNN::Layers::Conv2D
#built? DNN::Layers::Layer
#compile DNN::Model
#compiled? DNN::Model
#const DNN::Initializers::Const
#copy DNN::Model
#d_lasso DNN::Layers::RNN
#d_lasso DNN::Layers::Connection
#d_regularize DNN::Losses::Loss
#d_ridge DNN::Layers::RNN
#d_ridge DNN::Layers::Connection
#data DNN::Param
#download DNN::Downloader
download DNN::Downloader
downloads DNN::CIFAR10
downloads DNN::MNIST
#dropout_ratio DNN::Layers::Dropout
#filter_size DNN::Layers::Conv2D
#forward DNN::Layers::InputLayer
#forward DNN::Losses::SigmoidCrossEntropy
#forward DNN::Layers::Layer
#forward DNN::Activations::Sigmoid
#forward DNN::Activations::LeakyReLU
#forward DNN::Activations::ReLU
#forward DNN::Layers::BatchNormalization
#forward DNN::Losses::Loss
#forward DNN::Model
#forward DNN::Layers::LSTM
#forward DNN::Layers::GRU_Dense
#forward DNN::Layers::SimpleRNN_Dense
#forward DNN::Activations::Swish
#forward DNN::Layers::Dropout
#forward DNN::Activations::Tanh
#forward DNN::Activations::Softplus
#forward DNN::Activations::Softsign
#forward DNN::Layers::AvgPool2D
#forward DNN::Layers::LSTM_Dense
#forward DNN::Layers::MaxPool2D
#forward DNN::Layers::Conv2D
#forward DNN::Losses::MeanAbsoluteError
#forward DNN::Activations::ELU
#forward DNN::Layers::RNN
#forward DNN::Layers::Reshape
#forward DNN::Layers::Flatten
#forward DNN::Losses::HuberLoss
#forward DNN::Losses::MeanSquaredError
#forward DNN::Layers::Dense
#forward DNN::Layers::UnPool2D
#forward DNN::Losses::SoftmaxCrossEntropy
#get_all_layers DNN::Model
#get_batch DNN::Dataset
#get_layer DNN::Model
#get_prev_layer DNN::Model
#grad DNN::Param
#init_param DNN::Initializers::RandomUniform
#init_param DNN::Initializers::RandomNormal
#init_param DNN::Initializers::Const
#init_param DNN::Initializers::He
#init_param DNN::Initializers::Initializer
#init_param DNN::Initializers::Xavier
#init_param DNN::Initializers::Zeros
#initialize DNN::Layers::BatchNormalization
#initialize DNN::Layers::RNN
#initialize DNN::Layers::Dropout
#initialize DNN::Layers::GRU
#initialize DNN::Optimizers::SGD
#initialize DNN::Layers::Reshape
#initialize DNN::Initializers::RandomNormal
#initialize DNN::Layers::Dense
#initialize DNN::Layers::Connection
#initialize DNN::Activations::ELU
#initialize DNN::Initializers::Xavier
#initialize DNN::Layers::InputLayer
#initialize DNN::Layers::HasParamLayer
#initialize DNN::Optimizers::AdaGrad
#initialize DNN::Layers::GRU_Dense
#initialize DNN::Initializers::Initializer
#initialize DNN::Layers::Layer
#initialize DNN::Layers::LSTM_Dense
#initialize DNN::Param
#initialize DNN::Optimizers::Nesterov
#initialize DNN::Initializers::Const
#initialize DNN::Layers::UnPool2D
#initialize DNN::Initializers::RandomUniform
#initialize DNN::Optimizers::AdaDelta
#initialize DNN::Layers::SimpleRNN_Dense
#initialize DNN::Model
#initialize DNN::Layers::SimpleRNN
#initialize DNN::Optimizers::Optimizer
#initialize DNN::Initializers::He
#initialize DNN::Optimizers::Adam
#initialize DNN::Layers::LSTM
#initialize DNN::Optimizers::RMSProp
#initialize DNN::Layers::Conv2D
#initialize DNN::Downloader
#initialize DNN::Dataset
#initialize DNN::Layers::Pool2D
#initialize DNN::Activations::LeakyReLU
#input_shape DNN::Layers::Layer
#input_shape DNN::Model
#l1_lambda DNN::Layers::Connection
#l2_lambda DNN::Layers::Connection
#lasso DNN::Layers::Connection
#lasso DNN::Layers::RNN
#layers DNN::Model
#learning_rate DNN::Optimizers::Optimizer
load DNN::Model
load_binary DNN::CIFAR10
load_hash DNN::Layers::BatchNormalization
load_hash DNN::Layers::Dropout
load_hash DNN::Layers::Reshape
load_hash DNN::Layers::Dense
load_hash DNN::Layers::InputLayer
load_hash DNN::Activations::ELU
load_hash DNN::Utils
load_hash DNN::Layers::LSTM
load_hash DNN::Initializers::RandomUniform
load_hash DNN::Layers::SimpleRNN
load_hash DNN::Layers::MaxPool2D
load_hash DNN::Layers::AvgPool2D
load_hash DNN::Layers::Pool2D
load_hash DNN::Optimizers::SGD
load_hash DNN::Optimizers::RMSProp
load_hash DNN::Layers::UnPool2D
load_hash DNN::Optimizers::AdaGrad
load_hash DNN::Activations::LeakyReLU
load_hash DNN::Optimizers::Nesterov
load_hash DNN::Layers::GRU
load_hash DNN::Layers::Conv2D
load_hash DNN::Initializers::Const
load_hash DNN::Model
load_hash DNN::Initializers::RandomNormal
load_hash DNN::Optimizers::AdaDelta
load_hash DNN::Optimizers::Adam
load_images DNN::MNIST
load_json DNN::Model
#load_json_params DNN::Model
load_labels DNN::MNIST
load_test DNN::CIFAR10
load_test DNN::MNIST
load_train DNN::CIFAR10
load_train DNN::MNIST
#loss DNN::Model
#max DNN::Initializers::RandomUniform
#mean DNN::Initializers::RandomNormal
#min DNN::Initializers::RandomUniform
mnist_dir DNN::MNIST
#momentum DNN::Optimizers::SGD
#momentum DNN::Layers::BatchNormalization
#num_filters DNN::Layers::Conv2D
#num_nodes DNN::Layers::Dense
#num_nodes DNN::Layers::RNN
#optimizer DNN::Model
#output_shape DNN::Layers::UnPool2D
#output_shape DNN::Layers::Conv2D
#output_shape DNN::Layers::Pool2D
#output_shape DNN::Layers::Flatten
#output_shape DNN::Layers::Reshape
#output_shape DNN::Layers::Dense
#output_shape DNN::Layers::Layer
#output_shape DNN::Layers::RNN
#output_shape DNN::Model
#params DNN::Layers::HasParamLayer
#params_to_json DNN::Model
#pool_size DNN::Layers::Pool2D
#predict DNN::Model
#predict1 DNN::Model
read DNN::Image
#regularize DNN::Losses::Loss
#reset_state DNN::Layers::LSTM
#reset_state DNN::Layers::RNN
#rho DNN::Optimizers::AdaDelta
#ridge DNN::Layers::Connection
#ridge DNN::Layers::RNN
#save DNN::Model
#shape DNN::Layers::RNN
sigmoid DNN::Utils
softmax DNN::Utils
#stateful DNN::Layers::RNN
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
#std DNN::Initializers::RandomNormal
#strides DNN::Layers::Pool2D
#strides DNN::Layers::Conv2D
to_categorical DNN::Utils
#to_hash DNN::Optimizers::SGD
#to_hash DNN::Optimizers::Optimizer
#to_hash DNN::Layers::UnPool2D
#to_hash DNN::Layers::Pool2D
#to_hash DNN::Layers::Conv2D
#to_hash DNN::Layers::BatchNormalization
#to_hash DNN::Layers::Dropout
#to_hash DNN::Layers::Dense
#to_hash DNN::Layers::Connection
#to_hash DNN::Layers::Reshape
#to_hash DNN::Layers::InputLayer
#to_hash DNN::Layers::Layer
#to_hash DNN::Model
#to_hash DNN::Losses::Loss
#to_hash DNN::Activations::ELU
#to_hash DNN::Initializers::RandomNormal
#to_hash DNN::Activations::LeakyReLU
#to_hash DNN::Layers::SimpleRNN
#to_hash DNN::Layers::RNN
#to_hash DNN::Optimizers::Adam
#to_hash DNN::Optimizers::AdaDelta
#to_hash DNN::Optimizers::RMSProp
#to_hash DNN::Initializers::RandomUniform
#to_hash DNN::Initializers::Const
#to_hash DNN::Initializers::Initializer
#to_json DNN::Model
#train DNN::Model
#train_on_batch DNN::Model
#trainable DNN::Layers::HasParamLayer
#trainable DNN::Model
#unpool_size DNN::Layers::UnPool2D
#update DNN::Optimizers::AdaGrad
#update DNN::Optimizers::SGD
#update DNN::Optimizers::Nesterov
#update DNN::Optimizers::Optimizer
#update DNN::Optimizers::RMSProp
#update DNN::Layers::HasParamLayer
#update DNN::Model
#update DNN::Optimizers::Adam
#update DNN::Optimizers::AdaDelta
url_to_file_name DNN::MNIST
#weight DNN::Layers::RNN
#weight2 DNN::Layers::RNN
#weight_initializer DNN::Layers::Connection
write DNN::Image