About This Course

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!

What are the requirements?

  • PyCharm Community Edition 2017.2.3

What will I learn?

  • Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
  • Learn TensorFlow and how to build models of linear regression.
  • Make an image recognition model with CIFAR.

Who is the target audience?

  • Beginners who want to learn to use Artificial Intelligence.
  • Prior coding experience is helpful.
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.

 

Our Promise to You

By the end of this course, you will have learned how to program image-recognition feature using Python.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about programming image recognition feature using Python.

Course Curriculum

Section 1 - Introduction
Course Trailer 00:00:00
What Is Python Artificial Intelligence? 00:00:00
Section 2 - Python Basics
Installing Python And Pycharm 00:00:00
How To Use Pycharm 00:00:00
Intro And Variables 00:00:00
Multi-value Variables 00:00:00
Control Flow 00:00:00
Functions 00:00:00
Classes And Wrap Up 00:00:00
Source Files 00:00:00
Section 3 - TensorFlow Basics
Installing TensorFlow 00:00:00
Intro And Set Up 00:00:00
What Is TensorFlow 00:00:00
Constant And Operation Nodes 00:00:00
Placeholder Nodes 00:00:00
Variable Nodes 00:00:00
How To Create Linear Regression Model 00:00:00
Building Linear Regression Model 00:00:00
Source Files 00:00:00
Section 4 - Image Recognition (CIFAR-10 Project)
Introduction 00:00:00
Project Overview 00:00:00
Important CIFAR Packages 00:00:00
Displaying Images With PIL 00:00:00
Retrieving CIFAR 10 Data 00:00:00
Installing Matplotlib 00:00:00
Playing With CIFAR Images 00:00:00
Building The Model 00:00:00
Building Training Data And Training The Model 00:00:00
Testing The Model 00:00:00
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