---
product_id: 316623403
title: "Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python"
price: "SAR 238"
currency: SAR
in_stock: true
reviews_count: 3
url: https://www.desertcart.com.sa/products/316623403-hands-on-convolutional-neural-networks-with-tensorflow-solve-computer-vision
store_origin: SA
region: Saudi Arabia
---

# Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python

**Price:** SAR 238
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python
- **How much does it cost?** SAR 238 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.sa](https://www.desertcart.com.sa/products/316623403-hands-on-convolutional-neural-networks-with-tensorflow-solve-computer-vision)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
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## Description

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals of Convolutional Neural Networks Harness Python and Tensorflow to train CNNs Build scalable deep learning models that can process millions of items Book Description Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time! We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation. After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks. Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learn Train machine learning models with TensorFlow Create systems that can evolve and scale during their life cycle Use CNNs in image recognition and classification Use TensorFlow for building deep learning models Train popular deep learning models Fine-tune a neural network to improve the quality of results with transfer learning Build TensorFlow models that can scale to large datasets and systems Who this book is for This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help. Table of Contents Setup and introduction to TensorFlow Deep Learning and Convolutional Neural Networks Image Classification in Tensorflow Object Detection and Segmentation VGG, Inception Modules, Residuals, and MobileNets Autoencoders, Variational Autoencoders, and Generative Adversarial Networks Transfer Learning Machine Learning Best Practices and Troubleshooting Training at Scale

Review: I recommend it - Simple explanation for the concepts. Fast delivery.
Review: good content, awful formating - good content, awful formating

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 3,696,650 in Books ( See Top 100 in Books ) |
| Customer Reviews | 4.3 out of 5 stars 8 Reviews |

## Images

![Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python - Image 1](https://m.media-amazon.com/images/I/71mpxANjCGL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ I recommend it
*by M***A on 13 January 2019*

Simple explanation for the concepts. Fast delivery.

### ⭐⭐⭐⭐⭐ good content, awful formating
*by C***Y on 19 April 2021*

good content, awful formating

### ⭐⭐ a rough draft at best.
*by M***S on 26 April 2019*

This book, although at times has some useful information, has numerous formatting issues that make pages hard to read. its as if no one ready through it completely prior to printing. Also, the chapters feel more like the rough draft, and often lack enough detail to make sense of the subject matter. The authors seemed to have rushed this to print before prematurely

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*Product available on Desertcart Saudi Arabia*
*Store origin: SA*
*Last updated: 2026-09-13*