Pytorch

Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples

Key Features
Understand how to use PyTorch to build advanced neural network models including graph neural networks and reinforcement learning models

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

Learn from basics of Semantic Segmentation using Deep Learning to Implement, Train and Test YOUR own Models in PyTorch

Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.