-
Perseptron
-
neural network
-
neural network2(ReLU)
-
neural network implementation
-
array and matrix
-
softmax
-
MNIST
-
neuralnet_MNIST
-
neuralnet_MNIST_batch
-
mean_squared_error
-
cross_entropy_error
-
mini_batch
-
numerical_differential
-
partial_differential
-
gradient
-
gradient_descent
-
gradient_simplenet
-
two_layer_net
-
train_neuralnet
-
backpropagation
-
layer_naive_Multiply
-
layer_naive_Add
-
Layers
-
two_layer_net(backpropagation)
-
gradient_check
-
train_neuralnet(backpropagation)
-
Momentum
-
AdaGrad
-
Adam
-
optimizer_compare_mnist
-
weight_init_activation_histogram
-
weight_init_compare
-
batch_norm_test
-
overfit_weight_decay
-
overfit_dropout
-
hyperparameter_optimization
-
util
-
simple_convnet
-
train_convnet
-
gradient_check2
-
apply_filter
-
visualize_filter
-
half_float_network
심층 신경망을 만들어 MNIST 데이터셋의 손글씨 숫자 인식해보기
train_deepnet - 훈련 데이터
deep_conv_net_params.pkl - 학습된 가중치 매개변수
misclassified_mnist - 잘못 분류된 데이터
신경망 정확도 : 99.36%(매 학습마다 약간씩 달라짐)