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- Hands-On Computer Vision with TensorFlow 2: L...
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14886712
Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
89% of respondents would recommend this to a friend
Elementas #:
14886712
€ 49
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Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras
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What Stands Out
Practical Learning
Hands-on approach ensures that learners engage directly with tools, enabling effective application of computer vision concepts using TensorFlow 2.0 and Keras in real projects.
Comprehensive Content
Covers a wide range of topics from basics to advanced techniques, equipping users with essential knowledge and skills to tackle various image processing challenges effectively.
Industry-Relevant Skills
Focuses on building applicable skills for today's job market, enhancing employability and readiness for real-world applications in the rapidly growing field of deep learning.
Produkto Aprašymas
| Publisher | Packt Publishing |
| Publication date | May 30, 2019 |
| Language | English |
| Print length | 372 pages |
| ISBN-10 | 1788830644 |
| ISBN-13 | 978-1788830645 |
| Item Weight | 1.49 pounds (680 grams) |
| Dimensions | 7.5 x 0.84 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
Who Should Buy?
-
Aspiring Developers
Ideal for beginners looking to harness TensorFlow and Keras for innovative image processing applications.
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Data Scientists
Great for data professionals wanting to integrate deep learning techniques into image recognition projects.
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Educators and Students
Useful resource for academic courses focusing on AI, machine learning, and computer vision applications.
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Absolute Beginners
Not suitable for those with no prior programming or machine learning knowledge, as it may be challenging.
PRODUKTO APRAŠYMAS
Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
About This Item
Are you interested in creating powerful image processing apps? Look no further than the "Hands-On Computer Vision with TensorFlow 2" guide. With this book, you can leverage the deep learning capabilities of TensorFlow 2.0 and Keras to bring your vision to life. Whether you're an online retailer or an e-commerce enthusiast, TensorFlow 2 is a game-changer. This book dives into the world of deep learning for e-commerce optimization, providing you with the tools and knowledge to enhance your online business. With TensorFlow 2, you'll discover cutting-edge techniques for customer behavior analysis, fraud detection, inventory management, personalized recommendations, and more.
The power of deep learning algorithms combined with Keras neural networks will take your e-commerce strategies to the next level. Imagine having the ability to forecast trends and optimize prices in your online store, all thanks to TensorFlow 2. This book will guide you through the process, showcasing how deep learning techniques can improve conversion rates and increase your bottom line. But it doesn't stop there. You'll also learn how to analyze customer preferences, develop targeted marketing strategies, and delve into the world of image processing in e-commerce.
The possibilities are endless with TensorFlow 2 and Keras. So, whether you're a seasoned e-commerce professional or just starting out, "Hands-On Computer Vision with TensorFlow 2" is a must-have resource. Embrace the power of deep learning and revolutionize your online business today.
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Computer Vision & Pattern Recognition Editorial Review
"Hands-On Computer Vision with TensorFlow 2" is a well-written book that aims to teach readers how to leverage deep learning to create powerful image processing applications using TensorFlow 2.0 and Keras. The book provides clear explanations and is a good starting point for those looking to get into Computer Vision. However, the book receives mixed reviews regarding the code that accompanies it. Some readers find the code to be messy and unclear, making it difficult to follow along with the examples. Others state that most of the code failed to work, leaving them feeling frustrated and unsatisfied. While the complex code may look good, it is seldom explained in detail. Despite these code-related issues, the book is still Considered informative and worth reading. It serves as a valuable reference, particularly for beginners who want to translate deep learning concepts into actual code. The explanations provided are clear and helpful in understanding the concepts of Computer Vision.
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Argumentai
- Well-written book with clear explanations
- Provides a good starting point for beginners in Computer Vision
- Valuable reference for translating deep learning concepts into code
Minusai
- Code is messy and unclear, making it difficult to follow along
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Savybės ir privalumai
- Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras
- Apply modern solutions to a wide range of applications such as object detection and video analysis
- Learn how to run your models on mobile devices and web pages and improve their performance
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