Hands-On Image Recognition Using Python Data Science
Skill Success
Summary
- Certificate of completion - Free
- 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
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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Certificates
Certificate of completion
Digital certificate - Included
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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.