Practical Computer Vision Applications Using Deep Learning with CNNs

With Detailed Examples in Python Using TensorFlow and Kivy



Bookstore > Books > Practical Computer Vision Applications Using Deep Learning with CNNs

Price$43.34 - $49.27
Rating
AuthorAhmed Fawzy Gad
PublisherApress
Published2018
Pages405
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484241665
ISBN-139781484241660
EBook Hardcover Paperback

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.

For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.

After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.

This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production.

Understand how ANNs and CNNs work; Create computer vision applications and CNNs from scratch using Python; Follow a deep learning project from conception to production using TensorFlow; Use NumPy with Kivy to build cross-platform data science applications.





Similar Books


Hands-On Deep Learning for Images with TensorFlow

Hands-On Deep Learning for Images with TensorFlow

by Will Ballard

TensorFlow is Google's popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow's capabi...

Price:  $24.99  |  Publisher:  Packt Publishing  |  Release:  2018

Learn Computer Vision Using OpenCV

Learn Computer Vision Using OpenCV

by Sunila Gollapudi

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples.The author starts with an introduction to computer vision followed by setting up OpenCV from scr...

Price:  $23.71  |  Publisher:  Apress  |  Release:  2019

Deep Learning with Python

Deep Learning with Python

by Nihkil Ketkar

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Raspberry Pi Computer Vision Programming

Raspberry Pi Computer Vision Programming

by Ashwin Pajankar

This book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life comput...

Price:  $19.99  |  Publisher:  Packt Publishing  |  Release:  2015

Deep Learning with Applications Using Python

Deep Learning with Applications Using Python

by Navin Kumar Manaswi

Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Appli...

Price:  $39.99  |  Publisher:  Apress  |  Release:  2018

Next-Generation Machine Learning with Spark

Next-Generation Machine Learning with Spark

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine...

Price:  $26.41  |  Publisher:  Apress  |  Release:  2020

Computer Vision Using Deep Learning

Computer Vision Using Deep Learning

by Vaibhav Verdhan

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning archite...

Price:  $30.95  |  Publisher:  Apress  |  Release:  2021

Natural Language Processing with PyTorch

Natural Language Processing with PyTorch

by Delip Rao, Goku Mohandas

Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you're a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this p...

Price:  $57.02  |  Publisher:  O'Reilly Media  |  Release:  2018