Method List

Classes Methods Files

Search:

#<< DNN::Model
#accurate DNN::Model
#alpha DNN::Optimizers::RMSProp
#alpha DNN::Activations::ELU
#alpha DNN::Activations::LeakyReLU
#backward DNN::Activations::IdentityMAE
#backward DNN::Layers::Reshape
#backward DNN::Layers::Layer
#backward DNN::Activations::Sigmoid
#backward DNN::Activations::IdentityMSE
#backward DNN::Activations::SoftmaxWithLoss
#backward DNN::Activations::SigmoidWithLoss
#backward DNN::Activations::IdentityHuber
#backward DNN::Activations::ELU
#backward DNN::Layers::MaxPool2D
#backward DNN::Layers::InputLayer
#backward DNN::Activations::Swish
#backward DNN::Activations::Softplus
#backward DNN::Layers::Flatten
#backward DNN::Layers::AvgPool2D
#backward DNN::Activations::Tanh
#backward DNN::Layers::Dropout
#backward DNN::Model
#backward DNN::Layers::UnPool2D
#backward DNN::Layers::BatchNormalization
#backward DNN::Activations::Softsign
#backward DNN::Layers::Conv2D
#backward DNN::Layers::Dense
#backward DNN::Activations::LeakyReLU
#backward DNN::Activations::ReLU
#beta1 DNN::Optimizers::Adam
#beta2 DNN::Optimizers::Adam
#build DNN::Model
#build DNN::Layers::UnPool2D
#build DNN::Layers::BatchNormalization
#build DNN::Layers::Conv2D
#build DNN::Layers::HasParamLayer
#build DNN::Layers::Layer
#build DNN::Layers::Pool2D
#built? DNN::Layers::Layer
#compile DNN::Model
#compiled? DNN::Model
#copy DNN::Model
#data DNN::LearningParam
#dlasso DNN::Layers::Connection
download DNN::MNIST
downloads DNN::CIFAR10
downloads DNN::MNIST
#dridge DNN::Layers::Connection
#dropout_ratio DNN::Layers::Dropout
#filter_size DNN::Layers::Conv2D
#forward DNN::Activations::Softsign
#forward DNN::Model
#forward DNN::Activations::LeakyReLU
#forward DNN::Activations::Tanh
#forward DNN::Layers::InputLayer
#forward DNN::Activations::ReLU
#forward DNN::Layers::Layer
#forward DNN::Activations::Softplus
#forward DNN::Activations::SoftmaxWithLoss
#forward DNN::Layers::Conv2D
#forward DNN::Layers::MaxPool2D
#forward DNN::Layers::UnPool2D
#forward DNN::Activations::IdentityMSE
#forward DNN::Layers::Dropout
#forward DNN::Activations::Swish
#forward DNN::Activations::Sigmoid
#forward DNN::Activations::IdentityHuber
#forward DNN::Activations::SigmoidWithLoss
#forward DNN::Layers::AvgPool2D
#forward DNN::Layers::BatchNormalization
#forward DNN::Layers::Dense
#forward DNN::Activations::ELU
#forward DNN::Layers::Flatten
#forward DNN::Activations::IdentityMAE
#forward DNN::Layers::Reshape
#get_layer DNN::Model
get_minibatch DNN::Util
#get_prev_layer DNN::Model
#grad DNN::LearningParam
#init_param DNN::Initializers::RandomUniform
#init_param DNN::Initializers::Initializer
#init_param DNN::Initializers::He
#init_param DNN::Initializers::RandomNormal
#init_param DNN::Initializers::Xavier
#init_param DNN::Initializers::Zeros
#initialize DNN::Layers::Connection
#initialize DNN::Layers::InputLayer
#initialize DNN::Layers::HasParamLayer
#initialize DNN::Layers::Layer
#initialize DNN::Initializers::RandomNormal
#initialize DNN::Optimizers::Optimizer
#initialize DNN::Model
#initialize DNN::Activations::LeakyReLU
#initialize DNN::Optimizers::Nesterov
#initialize DNN::Optimizers::AdaGrad
#initialize DNN::Optimizers::Adam
#initialize DNN::Activations::ELU
#initialize DNN::Layers::BatchNormalization
#initialize DNN::Initializers::RandomUniform
#initialize DNN::Layers::Dropout
#initialize DNN::Optimizers::AdaDelta
#initialize DNN::Layers::UnPool2D
#initialize DNN::Layers::Reshape
#initialize DNN::Activations::SigmoidWithLoss
#initialize DNN::Layers::Conv2D
#initialize DNN::Optimizers::RMSProp
#initialize DNN::Layers::Dense
#initialize DNN::Layers::Pool2D
#initialize DNN::Optimizers::SGD
#l1_lambda DNN::Layers::Connection
#l2_lambda DNN::Layers::Connection
#lasso DNN::Layers::Connection
#layers DNN::Model
#learning_rate DNN::Optimizers::Optimizer
load DNN::Model
load_hash DNN::Layers::Conv2D
load_hash DNN::Optimizers::SGD
load_hash DNN::Layers::BatchNormalization
load_hash DNN::Layers::Dropout
load_hash DNN::Layers::Reshape
load_hash DNN::Activations::ELU
load_hash DNN::Optimizers::Adam
load_hash DNN::Layers::InputLayer
load_hash DNN::Initializers::RandomNormal
load_hash DNN::Layers::Dense
load_hash DNN::Optimizers::AdaGrad
load_hash DNN::Optimizers::AdaDelta
load_hash DNN::Util
load_hash DNN::Optimizers::RMSProp
load_hash DNN::Activations::LeakyReLU
load_hash DNN::Optimizers::Nesterov
load_hash DNN::Layers::UnPool2D
load_hash DNN::Layers::AvgPool2D
load_hash DNN::Layers::MaxPool2D
load_hash DNN::Initializers::RandomUniform
load_hash DNN::Layers::Pool2D
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::Activations::SoftmaxWithLoss
#loss DNN::Activations::SigmoidWithLoss
#loss DNN::Activations::IdentityHuber
#loss DNN::Model
#loss DNN::Activations::IdentityMAE
#loss DNN::Activations::IdentityMSE
#max DNN::Initializers::RandomUniform
#mean DNN::Initializers::RandomNormal
#min DNN::Initializers::RandomUniform
mnist_dir DNN::MNIST
#momentum DNN::Layers::BatchNormalization
#momentum DNN::Optimizers::SGD
#num_filters DNN::Layers::Conv2D
#num_nodes DNN::Layers::Dense
#optimizer DNN::Model
#params DNN::Layers::HasParamLayer
#params_to_json DNN::Model
#pool_size DNN::Layers::Pool2D
#predict DNN::Model
#predict1 DNN::Model
#prev_layer DNN::Layers::Layer
read DNN::ImageIO
#rho DNN::Optimizers::AdaDelta
#ridge DNN::Layers::Connection
#save DNN::Model
#shape DNN::Layers::Conv2D
#shape DNN::Layers::Flatten
#shape DNN::Layers::Dense
#shape DNN::Layers::Reshape
#shape DNN::Layers::UnPool2D
#shape DNN::Layers::Pool2D
#shape DNN::Layers::InputLayer
#shape DNN::Layers::Layer
#std DNN::Initializers::RandomNormal
#strides DNN::Layers::Pool2D
#strides DNN::Layers::Conv2D
to_categorical DNN::Util
#to_hash DNN::Optimizers::Adam
#to_hash DNN::Optimizers::AdaDelta
#to_hash DNN::Initializers::Initializer
#to_hash DNN::Optimizers::SGD
#to_hash DNN::Activations::LeakyReLU
#to_hash DNN::Initializers::RandomNormal
#to_hash DNN::Layers::UnPool2D
#to_hash DNN::Optimizers::Optimizer
#to_hash DNN::Layers::Pool2D
#to_hash DNN::Optimizers::RMSProp
#to_hash DNN::Initializers::RandomUniform
#to_hash DNN::Layers::BatchNormalization
#to_hash DNN::Layers::Dropout
#to_hash DNN::Layers::Reshape
#to_hash DNN::Layers::Dense
#to_hash DNN::Layers::Conv2D
#to_hash DNN::Layers::InputLayer
#to_hash DNN::Layers::Connection
#to_hash DNN::Layers::Layer
#to_hash DNN::Activations::ELU
#to_json DNN::Model
#train DNN::Model
#train_on_batch DNN::Model
#trainable DNN::Layers::HasParamLayer
#trainable DNN::Model
#training? DNN::Model
#unpool_size DNN::Layers::UnPool2D
#update DNN::Optimizers::Adam
#update DNN::Optimizers::AdaDelta
#update DNN::Optimizers::AdaGrad
#update DNN::Optimizers::Nesterov
#update DNN::Optimizers::SGD
#update DNN::Optimizers::RMSProp
#update DNN::Optimizers::Optimizer
#update DNN::Layers::HasParamLayer
#update DNN::Model
url_to_file_name DNN::MNIST
write DNN::ImageIO