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Hands-On Image Recognition Using Python Data Science

Skill Success

Summary

Price
£157 inc VAT
Or £52.33/mo. for 3 months...
Study method
Online
Duration
Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Overview

This course includes lifetime access so you can complete the course at your own speed.

By taking Hands-On Image Recognition: Python Data Science Bootcamp today, you will learn how to perform automated image recognition using Python.

Benefits of taking this course include:

  • Unlimited and lifetime access to the course
  • Learn the course at your own pace
  • Course can be accessed on any platform
  • 24/7 Customer support

Certificates

Certificate of completion

Digital certificate - Included

Course media

Description

Let’s learn how to perform automated image recognition!

In this course, you learn how to code in Python, calculate linear regression with TensorFlow, and perform CIFAR 10 image data and recognition. We interweave theory with practical examples so that you learn by doing.

AI is a code that mimics certain tasks. You can use AI to predict trends like the stock market.

Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition.

One farmer used the machine model to pick cucumbers!

This Hands-On Image Recognition Using Python Data Science course will cover the following topics:

Section 1 - Introduction

  • Course Trailer
  • What Is Python Artificial Intelligence?

Section 2 - Python Basics

  • Installing Python And Pycharm
  • How To Use Pycharm
  • Intro And Variables
  • Multi-value Variables
  • Control Flow
  • Functions
  • Classes And Wrap Up
  • Source Files

Section 3 - TensorFlow Basics

  • Installing TensorFlow
  • Intro And Set Up
  • What Is TensorFlow
  • Constant And Operation Nodes
  • Placeholder Nodes
  • Variable Nodes
  • How To Create Linear Regression Model
  • Building Linear Regression Model
  • Source Files

Section 4 - Image Recognition (CIFAR-10 Project)

  • Introduction
  • Project Overview
  • Important CIFAR Packages
  • Displaying Images With PIL
  • Retrieving CIFAR 10 Data
  • Installing Matplotlib
  • Playing With CIFAR Images
  • Building The Model
  • Building Training Data And Training The Model
  • Testing The Model

Who is this course for?

This course is designed for anyone who is interested in learning about Python Data Science and how to use it on image recognition.

Requirements

PyCharm Community Edition 2017.2.3

Career path

Students can pursue in a career involving artificial intelligence.

Questions and answers

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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