Getting through Deep Learning – Tensorflow intro (part 3)

This post is part of a tutorial series: Getting through Deep Learning – CNNs (part 1) Getting through Deep Learning – TensorFlow intro (part 2) Getting through Deep Learning – TensorFlow intro (part 3) Alright, lets move on to more interesting stuff: linear regression. Since the main focus in TensorFlow, and given the abundancy of … More Getting through Deep Learning – Tensorflow intro (part 3)

Getting through Deep Learning – Tensorflow intro (part 2)

Yes, I kind of jumped the guns on my initial post on Deep Learning straight into CNNs. For me this learning path works the best, as I dive straight into the fun part, and eventually stumble upon the fact that maybe I’m not that good of a swimmer, and it might be good to practice … More Getting through Deep Learning – Tensorflow intro (part 2)

Getting through Deep Learning – CNNs (part 1)

The number of available open source libraries making Deep learning easier to use is spreading fast as hype continuous to build. However, without understanding the background principles, it just feels like poking around a black box. In this post (or several, most likely) will try to give an introduction to Convolution Neural Networks (CNNs). Note … More Getting through Deep Learning – CNNs (part 1)