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.

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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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