Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and K, (Paperback)
EGP 2651
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Master deep learning and build intelligent computer vision applications using TensorFlow with practical, hands-on projects.
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- Explore TensorFlow's capabilities to perform efficient deep learning on imagesKey Features: - Discover image processing for machine vision- Build an effective image classification system using the power of CNNs- Leverage TensorFlow's capabilities to perform efficient deep learningBook Description: 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 capabilities to perform efficient image processing using the power of deep learning. With the help of this book; you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks; followed by understanding how they can be implemented using TensorFlow.By the end of this book; you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras.What You Will Learn: - Build machine learning models particularly focused on the MNIST digits- Work with Docker and Keras to build an image classifier- Understand natural language models to process text and images- Prepare your dataset for machine learning- Create classical; convolutional; and deep neural networks- Create a RESTful image classification serverWho this book is for: Hands-On Deep Learning for Images with TensorFlow is for you if you are an application developer; data scientist; or machine learning practitioner looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.Table of Contents- Machine Learning Toolkit- Image Data- Classic Neural Network- Convulutional Neural Network- Image Classification Server
| Publication date | July, 2018 |
| Author | Packt Publishing |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 96 |
| Age group | Adult |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Packt Publishing |
| Subgenre | Artificial Intelligence |
| Original languages | English |
| Edu focus | Technology |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Pub date | 2018-07-31 |
| Item Weight | 1 lbs (450 grams) |
Product Description
Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and K, (Paperback)
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EGP 2651
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Features & Benefits
- Learn to build effective image classification systems using CNNs.
- Explore TensorFlow's capabilities for fast and efficient deep learning.
- Implement real-world projects to master deep learning concepts.
- Understand how to prepare datasets for machine learning.
- Gain practical experience with Keras and Docker.
- Perfect for application developers and data scientists.
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