PyTorch Artificial Intelligence Fundamentals-P2P
This book uses a recipe-based approach, starting with the basics of tensor manipulation, before covering Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) in PyTorch. Once you are well-versed with these basic networks, you’ll build a medical image classifier using deep learning. Next, you’ll use TensorBoard for visualizations. You’ll also delve into Generative Adversarial Networks (GANs) and Deep Reinforcement Learning (DRL) before finally deploying your models to production at scale. You’ll discover solutions to common problems faced in machine learning, deep learning, and reinforcement learning. You’ll learn to implement AI tasks and tackle real-world problems in computer vision, natural language processing (NLP), and other real-world domains.

PyTorch Artificial Intelligence Fundamentals-P2P
English | 2020 | ISBN: 1838557040 | 191 Pages | PDF,EPUB | 9 MB
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