AI Practices with Tensorflow & Blender
AI Practices with Tensorflow & Blender, available at Free, has an average rating of 4.15, with 21 lectures, based on 11 reviews, and has 2007 subscribers.
You will learn about Learn to create a basic Generative Adversarial Networks. Use Machine learning to create basic 3D models. Create your own training data. Call external script from Blender using a sub process. This course is ideal for individuals who are Software developers that want to learn about AI It is particularly useful for Software developers that want to learn about AI.
Enroll now: AI Practices with Tensorflow & Blender
Summary
Title: AI Practices with Tensorflow & Blender
Price: Free
Average Rating: 4.15
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn to create a basic Generative Adversarial Networks.
- Use Machine learning to create basic 3D models.
- Create your own training data.
- Call external script from Blender using a sub process.
Who Should Attend
- Software developers that want to learn about AI
Target Audiences
- Software developers that want to learn about AI
Hello and welcome.
If you are a Python developer who wants to learn about AI and apply it in very simple examples, this course is for you.
This course focuses on creating a Generative Adversarial Network that will learn to create the vertices of a 3D figure.
For this we will use Python, Tensorflow and Blender.
With Python, we will create several scripts. One that will help us to create the training information, another one that will use Tensorflow to create the Generative Adversarial Networks and finally, one that will be executed in blender to create a 3D figure with the information created by the AI.
At the end, we will visualize and compare the results so we can make adjustments and improve performance.
I hope you find the content useful and that you can apply it to your personal projects.
Have fun and happy learning.
What will students learn in your course?
-
Learn to create a basic Generative Adversarial Networks.
-
Use Machine learning to create basic 3D models.
-
Create your own training data.
-
Call external script from Blender using a sub process.
What are the requirements or prerequisites for taking your course?
-
Python 3.9
-
Blender 3.X
-
Tensorflow libraries
-
Visual Studio Code
Who is this course for?
-
Software developers that want to learn about AI
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Training Data
Lecture 1: Introduction
Lecture 2: Coding
Lecture 3: Data
Chapter 3: Generative Adversarial Network
Lecture 1: Introduction
Lecture 2: Getting training data
Lecture 3: Generator
Lecture 4: Discriminator
Lecture 5: Optimizer and loss
Lecture 6: Training loop
Lecture 7: Printing to console
Chapter 4: Blender Code
Lecture 1: Introduction
Lecture 2: Coding the base
Lecture 3: Building the 3D figure
Chapter 5: Execution and Adjustment
Lecture 1: Introduction
Lecture 2: Testing: 100 Data – 100 Epoch
Lecture 3: Testing: 100 Data – 300 Epoch
Lecture 4: Testing: 500 Data – 100 Epoch
Lecture 5: Testing: 500 Data – 300 Epoch
Lecture 6: Testing: No training
Chapter 6: End
Lecture 1: Final message
Instructors
-
Oscar Villarreal
Software developer
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 4 votes
- 5 stars: 4 votes
Frequently Asked Questions
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