Recent Advances in Deep Learning
Nikhil S. Ketkar, Jojo Moolayil · Apress eBooks · 2021
So far, this book has discussed important topics in the realm of deep learning: feed-forward networks, convolutional neural networks, and recurrent neural networks. We described their practical aspects, including implementation, training, validation, and tuning models for improvement with PyTorch. Although we covered a lot of ground on the foundational aspects, there are still vast areas that remain untouched. The field of deep learning recently has witnessed a huge spike in research, contributors, and adoption in the industry for cutting-edge solutions. The sheer velocity of updates and changes (both incremental and groundbreaking) is colossal. Even since you have been reading this book, there might have been several groundbreaking research papers published that tailor the next course in the field of deep learning.