D2L Book


Dive into Deep Learning - The Book (3)
Naive Bayes Classification (2)
Probability and statistics (2)
Automatic Differentiation (4)
Getting started with Gluon (9)
Using this Book (6)
What does y' mean in the Naive Bayes chapter? (4)
Softmax from scratch doesn't work (4)
Answers to problems (2)
Debug fine, but run OOM...HELP! (6)
Use GPUs (3)
Manipulating Data with ndarray (5)
Obj Detection Tutorial - #4 - train_ssd.py AWS DL-AMI v19 (2)
Dropout (2)
Text Sentiment Classification: Using Convolutional Neural Networks (textCNN) (1)
Fully Convolutional Networks (FCN) (1)
Single Shot Multibox Detection (SSD) (1)
Object Detection Data Set (Pikachu) (1)
Get Started with Kaggle Competition: Dog Breed Identification (ImageNet Dogs) (1)
Get Started with Kaggle Competition: Image Classification (CIFAR-10) (1)
Neural Style Transfer (1)
Semantic Segmentation and Data Sets (1)
Region-based CNNs (R-CNNs) (1)
Multiscale Object Detection (1)
Anchor Boxes (1)
Object Detection and Bounding Box (1)
Fine Tuning (1)
Image Augmentation (1)
How to Contribute to This Book (6)
Introduction (2)