Computer Vision Using Deep Learning
Neural Network Architectures with Python and Keras
| Price | $33.17 - $39.99
|
| Rating |  |
| Author | Vaibhav Verdhan |
| Publisher | Apress |
| Published | 2021 |
| Pages | 308 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1484266153 |
| ISBN-13 | 9781484266151 |
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 architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.
Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.
- Vaibhav Verdhan
Similar Books
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
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
by Bhaumik Vaidya
Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
Practical Computer Vision Applications Using Deep Learning with CNNs
by Ahmed Fawzy Gad
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...
Price: $43.34 | Publisher: Apress | Release: 2018
R Deep Learning Essentials, 2nd Edition
by Mark Hodnett, Joshua F. Wiley
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Xudong Ma, Vishakh Hegde, Lilit Yolyan
With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time.Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D dee...
Price: $39.99 | Publisher: Packt Publishing | Release: 2022
by Francois Chollet, J. J. Allaire
Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-...
Price: $13.66 | Publisher: Manning | Release: 2018
by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping y...
Price: $16.45 | Publisher: Packt Publishing | Release: 2018
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