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accuracy NeuralNetworkRb
#backprop NeuralNetworkRb::NeuralNetwork
#batches NeuralNetworkRb::MNIST
#bias NeuralNetworkRb::Activations::Dot
#calc NeuralNetworkRb::Activations::Dot
#calc NeuralNetworkRb::Activations::Sigmoid
#calc NeuralNetworkRb::Activations::ReLU
#call NeuralNetworkRb::Loss::SoftmaxCrossEntropy
#call NeuralNetworkRb::Activations::Sigmoid
#clone NeuralNetworkRb::MNIST
cross_entropy NeuralNetworkRb
#data NeuralNetworkRb::MNIST
display_image NeuralNetworkRb::MNIST
embed_labels NeuralNetworkRb::MNIST
#epoch NeuralNetworkRb::Loss::CrossEntropyFetch
#epoch NeuralNetworkRb::NeuralNetwork
#fit NeuralNetworkRb::NeuralNetwork
#forward NeuralNetworkRb::NeuralNetwork
#grad NeuralNetworkRb::Activations::ReLU
#grad NeuralNetworkRb::Activations::Sigmoid
#height NeuralNetworkRb::Activations::Dot
#initialize NeuralNetworkRb::NeuralNetwork::Builder
#initialize NeuralNetworkRb::NeuralNetwork
#initialize NeuralNetworkRb::Loss::SoftmaxCrossEntropy
#initialize NeuralNetworkRb::Activations::Dot
#initialize NeuralNetworkRb::MNISTImage
#initialize NeuralNetworkRb::MNIST
#initialize NeuralNetworkRb::Loss::CrossEntropyFetch
#initialize NeuralNetworkRb::Activations::ReLU
#initialize NeuralNetworkRb::Activations::Sigmoid
#input= NeuralNetworkRb::NeuralNetwork
l1error NeuralNetworkRb
l2error NeuralNetworkRb
#labels NeuralNetworkRb::MNIST
#layers NeuralNetworkRb::NeuralNetwork::Builder
#named_layers NeuralNetworkRb::NeuralNetwork::Builder
one_hot NeuralNetworkRb::Embeddings
#output NeuralNetworkRb::NeuralNetwork
#partition! NeuralNetworkRb::MNIST
plain_diff NeuralNetworkRb
#predict NeuralNetworkRb::Activations::Sigmoid
#predict NeuralNetworkRb::Activations::ReLU
#predict NeuralNetworkRb::Loss::CrossEntropyFetch
#predict NeuralNetworkRb::Loss::SoftmaxCrossEntropy
#predict NeuralNetworkRb::NeuralNetwork
#predict NeuralNetworkRb::Activations::Dot
rows NeuralNetworkRb
#save_to_file NeuralNetworkRb::MNISTImage
shuffle NeuralNetworkRb
#shuffle! NeuralNetworkRb::MNIST
sigmoid NeuralNetworkRb
sigmoid_prime NeuralNetworkRb
softmax NeuralNetworkRb
split NeuralNetworkRb
#target NeuralNetworkRb::NeuralNetwork
test_set NeuralNetworkRb::MNIST
#to_network NeuralNetworkRb::NeuralNetwork::Builder
#train NeuralNetworkRb::NeuralNetwork::Builder
#train NeuralNetworkRb::Loss::SoftmaxCrossEntropy
#train NeuralNetworkRb::Activations::Dot
#train NeuralNetworkRb::Activations::Sigmoid
#train NeuralNetworkRb::Activations::ReLU
#train NeuralNetworkRb::Loss::CrossEntropyFetch
training_set NeuralNetworkRb::MNIST
#use NeuralNetworkRb::NeuralNetwork::Builder
#validation_data NeuralNetworkRb::MNIST
#validation_labels NeuralNetworkRb::MNIST
#weight NeuralNetworkRb::Activations::Dot
#width NeuralNetworkRb::Activations::Dot