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Practical computer vision applications using deep learning with CNNs : with detailed examples in Python using TensorFlow and Kivy / Ahmed Fawzy Gad.

Gad, Ahmed Fawzy, author.
2018
Q337.5 .G33 2018
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Title
Practical computer vision applications using deep learning with CNNs : with detailed examples in Python using TensorFlow and Kivy / Ahmed Fawzy Gad.
Author
Gad, Ahmed Fawzy, author.
ISBN
9781484241677 (electronic book)
1484241673 (electronic book)
9781484241660
DOI
https://doi.org/10.1007/978-1-4842-4167-7
Published
[New York, NY] : Apress, [2018]
Language
English
Description
1 online resource
Item Number
10.1007/978-1-4842-4167-7 doi
Call Number
Q337.5 .G33 2018
Dewey Decimal Classification
006.3
Summary
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than fully connected networks. You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition application and make the pre-trained models accessible over the Internet using Flask. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. You will: Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using Python Follow a deep learning project from conception to production using TensorFlow Use NumPy with Kivy to build cross-platform data science applications.
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text file PDF
Source of Description
Description based on online resource; title from digital title page (viewed on January 24, 2019).
Available in Other Form
Print version: 9781484241660
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All Resources
1. Recognition in Computer Vision
2. Artificial Neural Network
3. Classification using ANN with Engineered Features
4. ANN Parameters Optimization
5. Convolutional Neural Networks
6. TensorFlow Recognition Application
7. Deploying Pre-Trained Models
8. Cross-Platform Data Science Applications.Appendix: Uploading Projects to PyPI.

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