Price: $3.95
(as of Dec 26,2024 15:40:33 UTC – Details)
ASIN : B0DF68ZWHD
Publication date : August 24, 2024
Language : English
File size : 796 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 379 pages
Computer vision is a rapidly growing field in artificial intelligence that focuses on enabling computers to interpret and understand the visual world. With the help of deep learning frameworks like TensorFlow, developers can build powerful computer vision models that can recognize objects, detect patterns, and make sense of images and videos.
In this beginner’s guide, we will take you through the basics of computer vision with TensorFlow, one of the most popular deep learning libraries for building visual AI applications. Whether you are a student, a hobbyist, or a professional looking to delve into the world of computer vision, this guide will provide you with the foundational knowledge and practical skills needed to get started.
Topics covered in this guide include:
1. Understanding the basics of computer vision and its applications
2. Introduction to TensorFlow and its role in building computer vision models
3. Overview of deep learning concepts such as neural networks and convolutional neural networks (CNNs)
4. Hands-on tutorials on how to build and train computer vision models using TensorFlow
5. Tips and best practices for optimizing and deploying computer vision applications
By the end of this guide, you will have a solid understanding of computer vision principles and be equipped with the skills to start building your own visual AI projects with TensorFlow. So, if you are ready to dive into the exciting world of computer vision, grab your laptop and let’s get started!
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