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156622866
Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and de, (Paperback)
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商品＃:
156622866
TWD 2254
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立即訂購並活動它 週六, 十月 24
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By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks.
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What Stands Out
Comprehensive Techniques
Learn cutting-edge machine learning and deep learning techniques to develop advanced computer vision applications, ensuring a thorough understanding of practical implementations and theoretical foundations.
Hands-On Approach
Engage with practical examples and projects that enhance learning, allowing readers to apply concepts immediately and build competence in real-world scenarios, making the learning experience interactive and effective.
Focused on TensorFlow
Utilize TensorFlow 2.x, the most popular framework for deep learning, equipping readers with the skills needed for modern applications, ensuring relevancy and effectiveness in a rapidly evolving field.
產品詳情
- Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming languageKey Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learn Explore methods of feature extraction and image retrieval and visualize different layers of the neural network model Use TensorFlow for various visual search methods for real-world scenarios Build neural networks or adjust parameters to optimize the performance of models Understand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting Evaluate your model and optimize and integrate it into your application to operate at scale Get up to speed with techniques for performing manual and automated image annotation Who this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2020 |
| Pages | 430 |
| Reading level | Grade 12 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Number of discs | 1 |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.50 x 0.87 x 9.25 in (19.1 x 2.2 x 23.5 cm) |
| Assembled product weight | 1.62 lb (730 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners eager to learn practical applications of computer vision and machine learning using TensorFlow.
-
Experienced Developers
Great for programmers looking to deepen their understanding of deep learning techniques for real-world computer vision.
-
Academic Researchers
Helpful for researchers focusing on advancing their projects in the field of computer vision with TensorFlow insights.
-
Absolute Beginners
Not suitable for those with no prior knowledge of programming or machine learning concepts.
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立即訂購並活動它 週六, 十月 24
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特色和優勢
- Gain a fundamental understanding of advanced computer vision and neural network models.
- Learn techniques for image classification, object detection, and low-level vision tasks.
- Master cloud-based model development and optimization with TensorFlow Lite.
- Explore advanced concepts like semantic segmentation, image inpainting, and transfer learning.
- Develop and evaluate powerful neural network models for real-world applications.
- Ideal for professionals and engineers looking to elevate their computer vision skills.
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