Learn how to leverage ML.NET for creating crushing metal riffs in this 58-minute conference talk. Explore the potential of Microsoft's deep learning venture, written in .NET Core, and discover its applications for .NET developers. Gain insights into incorporating machine learning into existing apps and harnessing deep learning to generate innovative metal music. Delve into ML.NET usage, understand deep learning techniques like Recurrent Neural Networks, and acquire skills for metal song composition. Cover topics including linear functions, activation functions, neural networks, LS DMS, piano vs. guitar comparisons, tablatures, guitar profiles, and output file generation. Examine practical machine learning examples and future possibilities in this comprehensive exploration of ML.NET's capabilities for music creation.
How to Use ML.NET to Write Crushing Metal Riffs
Overview
Syllabus
Intro
About me
Machine learning
Linear function
Visualizing linear function
Example of linear function
Activation function
Neural networks
Output
LS DMS
Recurrent Neural Networks
Piano vs Guitar
Tablatures
ML NET
Why we know the right answer
Tensorflow
Sequences
Guitar Profiles
Bars
Output file
C code
Future work
Machine learning examples
Taught by
NDC Conferences
