Dive into Deep Learning

Table Of Contents

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

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5.1. 이 책에 기여하는 방법