عنوان

Practical computer vision applications using deep learning with CNNs :

شابک

1484241673

شابک

9781484241677

شابک اشتباه

1484241665

شابک اشتباه

9781484241660

عنوان اصلي

Practical computer vision applications using deep learning with CNNs :

نام عام مواد

[Book]

ساير اطلاعات عنواني

with detailed examples in Python using TensorFlow and Kivy /

نام نخستين پديدآور

Ahmed Fawzy Gad.

محل نشرو پخش و غیره

[New York, NY] :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2018]

نام خاص و کميت اثر

1 online resource

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9781484241677

شماره استاندارد بين المللي کتاب و موسيقي

9781484241660

شماره استاندارد بين المللي کتاب و موسيقي

9781484241684

موضوع مستند نشده

Computer programming.

موضوع مستند نشده

Computer vision.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

Computer programming.

موضوع مستند نشده

Computer vision.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

COM004000

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Gad, Ahmed Fawzy

تاريخ عمليات

20200823032604.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y