Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 481
Release :
ISBN-10 : 9781098102333
ISBN-13 : 1098102339
Rating : 4/5 (339 Downloads)

Book Synopsis Practical Machine Learning for Computer Vision by : Valliappa Lakshmanan

Download or read book Practical Machine Learning for Computer Vision written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2021-07-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models


Practical Machine Learning for Computer Vision Related Books

Practical Machine Learning for Computer Vision
Language: en
Pages: 481
Authors: Valliappa Lakshmanan
Categories: Computers
Type: BOOK - Published: 2021-07-21 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve
Deep Learning for Coders with fastai and PyTorch
Language: en
Pages: 624
Authors: Jeremy Howard
Categories: Computers
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Practical Machine Learning with Python
Language: en
Pages: 545
Authors: Dipanjan Sarkar
Categories: Computers
Type: BOOK - Published: 2017-12-20 - Publisher: Apress

DOWNLOAD EBOOK

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the
Practical Computer Vision Applications Using Deep Learning with CNNs
Language: en
Pages: 421
Authors: Ahmed Fawzy Gad
Categories: Computers
Type: BOOK - Published: 2018-12-05 - Publisher: Apress

DOWNLOAD EBOOK

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural net
Practical Deep Learning for Cloud, Mobile, and Edge
Language: en
Pages: 585
Authors: Anirudh Koul
Categories: Computers
Type: BOOK - Published: 2019-10-14 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the nex