Excellent introductory video from Google’s Martin Gorner covering the handwritten 0-9 digits recognition problem using the MNIST data set. Code is Python using the Tensorflow library.
He begins with a single layer network, progresses into a multi-layer network and ends with a convolutional neural network, showing how improvements in techniques correspond to better test accuracy.
Covers softmax, sigmoid, ReLU, matrix transformation, convolutional networks, over-fitting, test and training accuracy.
Well worth a watch for beginners and has better explanations than some full courses online.
Note: they figure out the microphone feedback situation around minute 15 or 16.
TensorFlow is an open source (Apache 2.0) software library for Machine Intelligence created by Google
The two options are:
- Run in Docker
- Run in a Linux Virtual Machine (VM)
With the introduction of the Windows Subsystem for Linux (WSL) Windows 10 users have an additional option:
- Run on Win 10
- Run in Docker
- Run in a Linux VM
Today [6/1/16] , Google’s newest machine learning project released its first piece of generated art, a 90-second piano melody created through a trained neural network, provided with just four notes up front. The drums and orchestration weren’t generated by the algorithm, but added for emphasis after the fact.
It’s the first tangible product of Google’s Magenta program, which is designed to put Google’s machine learning systems to work creating art and music systems. The program was first announced at Moogfest last week.
Along with the melody, Google published a new blog post delving into Magenta’s goals, offering the most detail yet on Google’s artistic ambitions. In the long term, Magenta wants to advance the state of machine-generated art and build a community of artists around it — but in the short term, that means building generative systems that plug in to the tools artists are already working with. “We’ll start with audio and video support, tools for working with formats like MIDI, and platforms that help artists connect to machine learning models,” the team wrote in an announcement. “We want to make it super simple to play music along with a Magenta performance model.”
Read the full article: Google’s art machine just wrote its first song on The Verge