Monthly Archives: February 2017

Music — Artificial Intelligence

wow, look at the ability for Machine Learning and Artificial Intelligence to learn your music rhythm and melody and play a duet on it.

Try it: Here!    How does it work: Here!

It is here based on Google’s TensorFlow Machine Learning open source software.  Check out this link about “Make Music and Art Using Machine Learning” at   Then look at Learning from A.I. Duet .  Some real possibilities for expanding music and allowing software to help accompany the musician.  Yes this will not make one a better musician, but it sure helps to make more music.  The software is part of the work of the Google Brain team who work on Magenta project in collaboration with the Google Creative Lab team.

Now to take this to the next level, consider this note on
Style-conditioned music generation

Piano in the sunlight

Piano in the sunlight

Artificial Intelligence – notes

With machine learning, Neural Networks are looking promising for deep learning. But there is the rise of Bayesians, which is researchers doing Artificial Intelligence (AI) through the scientific method starting with an hypothesis. There is lots of trial and error designing a Neural Network, lots of parameters to tweak as one tries to get the data to correlate. Can machine learning and neural networks help us design better neural networks?

Great video on Deep Learning  and Multilayer Neural Networks,  Deep Learning Summer School, Montreal 2015

Visual features: From Fourier to Gabor,  Deep Learning Summer School, Montreal 2015

What is a MOOC? —  a study course made available over the Internet for free to a large number of people

The Columbia River in the snow

The Columbia River in the snow

Creativity and more…

To be creative, one must start somewhere. Creativity is bringing things together. But just brain-storm and consider things even outside the box, things that are impossible to achieve (so we think).  Try a different mathematical solution, a different marketing or engineering solution.  Success sometimes comes by just tweaking things just a little.

Consider the configuration of artificial intelligence and deep learning neural networks. There are so many ways to configure and initialize them.  So many different types of neural nodes and ways to mathematically connect the nodes also called Perceptrons.

A person who never made a mistake never tried anything new — possibly said by Albert Einstein

Here is a great set of project results to consider for stimulating creativity in Machine Learning…
Higgs Boson Machine Learning Challenge

near the Columbia River in the snow

near the Columbia River in the snow