{"product_id":"modern-computer-vision-with-pytorch-explore-deep-learning-concepts-and-implement-over-50-real-world-image-applications-paperback","title":"Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eV. Kishore Ayyadevara\u003c\/b\u003e (Author), \u003cb\u003eYeshwanth Reddy\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGet to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement solutions to 50 real-world computer vision applications using PyTorch\u003c\/li\u003e\n\u003cli\u003eUnderstand the theory and working mechanisms of neural network architectures and their implementation\u003c\/li\u003e\n\u003cli\u003eDiscover best practices using a custom library created especially for this book\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You'll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you'll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You'll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTrain a NN from scratch with NumPy and PyTorch\u003c\/li\u003e\n\u003cli\u003e Implement 2D and 3D multi-object detection and segmentation\u003c\/li\u003e\n\u003cli\u003e Generate digits and DeepFakes with autoencoders and advanced GANs\u003c\/li\u003e\n\u003cli\u003e Manipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGAN\u003c\/li\u003e\n\u003cli\u003e Combine CV with NLP to perform OCR, image captioning, and object detection\u003c\/li\u003e\n\u003cli\u003e Combine CV with reinforcement learning to build agents that play pong and self-drive a car\u003c\/li\u003e\n\u003cli\u003e Deploy a deep learning model on the AWS server using FastAPI and Docker\u003c\/li\u003e\n\u003cli\u003e Implement over 35 NN architectures and common OpenCV utilities\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you'll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 824\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.63 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 27, 2020\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42728604565567,"sku":"9781839213472","price":95.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/9fff09db314ea077931c5749162da0eb.webp?v=1765119113","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/modern-computer-vision-with-pytorch-explore-deep-learning-concepts-and-implement-over-50-real-world-image-applications-paperback","provider":"BBB","version":"1.0","type":"link"}