Dive into Deep Learning
Dive into Deep Learning

5.2. d2l 패키지 색인

함수 또는 클래스 이름 Relevant Chapter
bbox_to_rect Object Detection and Bounding Boxes
Benchmark Asynchronous Computation
corr2d Two-dimensional Convolutional Layer
count_tokens Sentiment Classification: Using Recurrent Neural Networks
data_iter Linear Regression Implementation from Scratch
data_iter_consecutive Language Model Data Set (Jay Chou album lyrics)
data_iter_random Language Model Data Set (Jay Chou album lyrics)
download_imdb Sentiment Classification: Using Recurrent Neural Networks
download_voc_pascal Semantic Segmentation and Data Sets
evaluate_accuracy Image Augmentation
get_data_ch7 Mini-batch Stochastic Gradient Descent
get_fashion_mnist_labels Image Classification Data Set(Fashion-MNIST)
get_tokenized_imdb Sentiment Classification: Using Recurrent Neural Networks
get_vocab_imdb Sentiment Classification: Using Recurrent Neural Networks
grad_clipping Recurrent Neural Network Implementation from Scratch
linreg Linear Regression Implementation from Scratch
load_data_fashion_mnist Deep Convolutional Neural Networks (AlexNet)
load_data_jay_lyrics Language Model Data Set (Jay Chou album lyrics)
load_data_pikachu Object Detection Data Set(Pikachu)
plt Linear Regression Implementation from Scratch
predict_rnn Recurrent Neural Network Implementation from Scratch
predict_rnn_gluon Concise Implementation of Recurrent Neural Networks
predict_sentiment Sentiment Classification: Using Recurrent Neural Networks
preprocess_imdb Sentiment Classification: Using Recurrent Neural Networks
read_imdb Sentiment Classification: Using Recurrent Neural Networks
read_voc_images Semantic Segmentation and Data Sets
Residual Residual Networks (ResNet)
resnet18 Concise Implementation of Multi-GPU Computing
RNNModel Concise Implementation of Recurrent Neural Networks
semilogy Model Selection
set_figsize Linear Regression Implementation from Scratch
sgd Linear Regression Implementation from Scratch
show_bboxes Anchor Boxes
show_fashion_mnist Image Classification Data Set(Fashion-MNIST)
show_images Image Augmentation
show_trace_2d Gradient Descent and Stochastic Gradient Descent
squared_loss Linear Regression Implementation from Scratch
to_onehot Recurrent Neural Network Implementation from Scratch
train Image Augmentation
train_2d Gradient Descent and Stochastic Gradient Descent
train_and_predict_rnn Recurrent Neural Network Implementation from Scratch
train_and_predict_rnn_gluon Concise Implementation of Recurrent Neural Networks
train_ch3 Softmax Regression Implementation from Scratch
train_ch5 Convolutional Neural Networks (LeNet)
train_ch7 Mini-batch Stochastic Gradient Descent
train_gluon_ch7 Mini-batch Stochastic Gradient Descent
try_all_gpus Image Augmentation
try_gpu Convolutional Neural Networks (LeNet)
use_svg_display Linear Regression Implementation from Scratch
VOC_CLASSES Semantic Segmentation and Data Sets
VOC_COLORMAP Semantic Segmentation and Data Sets
voc_label_indices Semantic Segmentation and Data Sets
voc_rand_crop Semantic Segmentation and Data Sets
VOCSegDataset Semantic Segmentation and Data Sets