Uploaded August 2024 | Updated September 2026, 2 weeks ago
This is a free preview of our brand new Premium Course all about machine learning. To watch new episodes in this series:
1. Go to patreon.com/entagma
2. Support us at the "In-Depth-Knowledge" tier or higher
3. Go to entagma.com and log in with your patreon account to unlock all Premium Courses
This course is about making Machine Learning the next tool in your Houdini toolbox. Just like some problems are best solved with vector maths or Vex or Python, some problems get way easier with ML and we want to be able to spot these problems and solve them using your own custom networks.
To do so we create our own training data in Houdini, we build and train our own neural nets with Python and PyTorch and finally integrate them into our Houdini Workflows using ONNX. Additionally we want to take really deep looks into how these setups work and why they’re built the way they are to get a ton of intuition for applying these techniques to new problems.
Download Scenefile:
entagma.com/downloads/ML101_Ep00_IntroDemos.zip
Chapters:
00:00 Course Introduction
02:01 ML Deformer End Result
04:47 ML Deformer Pros and Cons
06:18 Why this is our first project
08:41 Why muscle sims can work with machine learning
13:48 Closing Remarks
This is a free preview of our brand new Premium Course all about machine learning. To watch new episodes in this series:
1. Go to patreon.com/entagma
2. Support us at the "In-Depth-Knowledge" tier or higher
3. Go to entagma.com and log in with your patreon account to unlock all Premium Courses
This course is about making Machine Learning the next tool in your Houdini toolbox. Just like some problems are best solved with vector maths or Vex or Python, some problems get way easier with ML and we want to be able to spot these problems and solve them using your own custom networks.
To do so we create our own training data in Houdini, we build and train our own neural nets with Python and PyTorch and finally integrate them into our Houdini Workflows using ONNX. Additionally we want to take really deep looks into how these setups work and why they’re built the way they are to get a ton of intuition for applying these techniques to new problems.
Download Scenefile:
entagma.com/downloads/ML101_Ep00_IntroDemos.zip
Chapters:
00:00 Course Introduction
02:01 ML Deformer End Result
04:47 ML Deformer Pros and Cons
06:18 Why this is our first project
08:41 Why muscle sims can work with machine learning
13:48 Closing Remarks
