Deep Learning with PyTorch

Data and algorithms

Data is the most important ingredient for the success of deep learning. Due to the wide adoption of the internet and the growing use of smartphones, several companies, such as Facebook and Google, have been able to collect a lot of data in various formats, particularly text, images, videos, and audio. In the field of computer vision, ImageNet competitions have played a huge role in providing datasets of 1.4 million images in 1,000 categories.

These categories are hand-annotated and every year hundreds of teams compete. Some of the algorithms that were successful in the competition are VGG, ResNet, Inception, DenseNet, and many more. These algorithms are used today in industries to solve various computer vision problems. ...