عنوان

Practical computer vision applications using deep learning with CNNs :

(Number (ISBN

1484241673

(Number (ISBN

9781484241677

Erroneous ISBN

1484241665

Erroneous ISBN

9781484241660

Title Proper

Practical computer vision applications using deep learning with CNNs :

General Material Designation

[Book]

Other Title Information

with detailed examples in Python using TensorFlow and Kivy /

First Statement of Responsibility

Ahmed Fawzy Gad.

Place of Publication, Distribution, etc.

[New York, NY] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2018]

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Introduction -- Recognition in computer vision -- Artificial neural networks -- Recognition using ANN with engineered features -- ANN optimization -- Convolutional neural networks -- TensorFlow recognition application -- Deploying pretrained models -- Cross-platform data science applications -- Appendix A: Installing your own projects using pip installer.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9781484241677

International Standard Book Number

9781484241660

International Standard Book Number

9781484241684

Computer programming.

Computer vision.

Python (Computer program language)

Computer programming.

Computer vision.

Python (Computer program language)

COM004000

UYQ

UYQ

Number

Edition

Class number

Book number

Gad, Ahmed Fawzy

Date of Transaction

20200823032604.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y