About This Course
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
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
What are the requirements?
- PyCharm Community Edition 2017.2.3
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!
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.
|Section 1 - Introduction|
|What Is Python Artificial Intelligence?||00:00:00|
|Downloadable Source Files||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|
|Classes And Wrap Up||00:00:00|
|Section 3 - TensorFlow Basics|
|Intro And Set Up||00:00:00|
|What Is TensorFlow||00:00:00|
|Constant And Operation Nodes||00:00:00|
|How To Create Linear Regression Model||00:00:00|
|Building Linear Regression Model||00:00:00|
|Section 4 - Image Recognition (CIFAR-10 Project)|
|Important CIFAR Packages||00:00:00|
|Displaying Images With PIL||00:00:00|
|Retrieving CIFAR 10 Data||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|