This chapter was a bit of pot-pourri of things the authors wanted to tell us before we got on to machine learning proper. Much of it was straightforward, and then there were a few stingers, such as the bits about … Keep reading
Category: Neural networks
Deep Learning Practical 1: Intro to Tensorflow
This week in the Deep Learning Reading Group we worked through some introductory exercises on Tensorflow, based upon the provided tutorials and edited by Zeb and I. It’s targeted at those with minimal Python experience, but who have programmed in … Keep reading
Deep Learning Textbook Chapter 2: Probability
As part of the Max Planck Centre’s Deep Learning reading group, I’m working my way through the soon-to-be released Deep Learning textbook. These posts are my informal notes for each chapter. Find my notes from chapter 1 here. Thanks again … Keep reading
Deep Learning Textbook Chapter 1: Linear Algebra
The Dolan lab group (and friends) is working through the soon-to-be-released Deep Learning textbook, authored by Goodfellow Bengio, and Courville, and somewhat miraculously available in html form prior to publication by MIT press.
At a risk of exposing the depths of … Keep reading
Setting up Tensorflow for Mac OS X
Alternative method from the Asimov institute. This worked fine for me using an Anaconda install of Python on Mac OS X, except I had to remove the ‘–update’ flag when doing the installation with pip. Their version involves direct installation … Keep reading