I have been working on my capstone project for the last little bit. It involves using neural networks to solve the problem of segmenting medical images. Here is a little of what I have learned. I think I am going to start doing a series about this. Mainly cause Machine learning is easier than it […]
This is a comparison of the three top frameworks out there summarized in a chart. Most of the information came from this great lecture from the “Convolutional Neural Networks for Visual Recognition” course at Stanford.
Getting Started with Matlab – Part 1: A lot of the math used for Machine Learning (ML) is linear algebra, actually a lot of engineering in general is based on the stuff. A matrix of numbers could represent everything from a circuit based control system, to a concrete pillar under a bridge. This also means […]
Near the end of the last post I started talking about gradient descent. Now for the most part you can think of gradient as surface that your trying to find the lowest point in. However once you get into systems that require you factor in more then just one feature it stops being a […]
You can see why I started this series here. What is machine learning ? My definition: When you tell a machine to learn from experience rather then, explicitly giving it a bunch of instructions. Course Definitions: “the field of study that gives computers the ability to learn without being explicitly programmed.” – Arthur Samuel “A computer […]