-
Book Overview & Buying
-
Table Of Contents
PyTorch for Deep Learning and Computer Vision
By :
PyTorch for Deep Learning and Computer Vision
By:
Overview of this book
PyTorch has rapidly become one of the most transformative frameworks in the field of deep learning. Since its release, PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. In this exciting course, instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. You'll go from a beginner to deep learning expert with your instructor completing each step of the task with you. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands-on skills that you can bring to any project or organization.
All the code and supporting files for this course are available at https://github.com/PacktPublishing/PyTorch-for-Deep-Learning-and-Computer-Vision
Table of Contents (14 chapters)
Introduction
Getting Started
Intro to Tensors – PyTorch
Linear Regression – PyTorch
Perceptrons – PyTorch
Deep Neural Networks – PyTorch
Image Recognition – PyTorch
Convolutional Neural Networks – PyTorch
CIFAR 10 Classification – PyTorch
Transfer Learning – PyTorch
Style Transfer – PyTorch
Appendix A - Python Crash Course
Appendix B - NumPy Crash Course
Appendix C - Softmax Explanation
This video is locked
