Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy - Image 1

£55.48

Apress Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

Name: Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Brand: Apress
Price: 55.48 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£55 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £55 (1 days, 100.0%)

Price range: £55 - £55

Price levels: 1 different prices over 1 days

Description

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 bookstarts 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 the fully connected ANN (FCNN). 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 model that you will deploy to a web server using Flask, making it accessible over the Internet. 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. What You Will Learn 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 Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484241665
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 06 December 2018
Listed Since: 06 September 2018

Barcode

No barcode data available

Apress Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

An Introduction to Image Classification: From Designed Models to End-to-End Learning

A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures on Computer Vision)

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Principles and Labs for Deep Learning

Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models

Practical Deep Learning for Computer Vision with Python

Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 1: 943 (Advances in Intelligent Systems and Computing, 943)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

IoT-enabled Convolutional Neural Networks: Techniques and Applications (River Publisher Series in Automation, Control and Robotics)

Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)

Computer Vision Methods for Fast Image Classiﬁcation and Retrieval: 821 (Studies in Computational Intelligence, 821)

Computer Vision - ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III: 6494 (Lecture Notes in Computer Science, 6494)

Computer Vision - ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006, Proceedings, Part I: 3851 (Lecture Notes in Computer Science, 3851)

Computer Vision – ACCV 2020: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part IV: 12625 (Lecture Notes in Computer Science, 12625)

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era (e-Book Collection - Copyright 2022)

Foundations of Computer Vision (Adaptive Computation and Machine Learning)

Computer Vision – ACCV 2020: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part VI: 12627 (Lecture Notes in Computer Science, 12627)

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Computer Vision – ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part VII: 13847 (Lecture Notes in Computer Science, 13847)