Understanding Tensor Flow Input Pipelines Part 1


Hello World!

Alright; so this whole input pipeline thing in pretty much every framework is the most undocumented thing in the universe.  So this article is about demystifying it.  We can break down the process into a few key steps:

  1. Acquire & Label Data
  2. Process Label Files for Record Conversions
  3. Process Label Files for Training a Specific Network Interface
  4. Train the Specific Network Interface

This is part 1.  We will focus on the 3rd item in this list; processing the files into TF Records.  Note you can find more associated code in the TensorFlow section of this git repository: https://github.com/drcrook1/CIFAR10

Continue reading

Basic Gradient Descent

Hello World!

In this article we are going to cover a simple version of Gradient Descent. It is important to note that this version of gradient descent is using Sum of Squares as its cost function to reduce. This implementation utilizes vectorized algorithms. Lets start off with…

What is Gradient Descent

Continue reading

Machine Learning Study Group – Week 2 & 3 Recap

Hello World,

So this is another recap from our study group covering the Andrew NG course on Coursera. Lets start by a quick summary from the two weeks. Week 1 was all about introduction to linear regression and gradient descent. There were no assignments due. Week 3 was all about multi-variate linear regression, normalization and a few other topics. There was a coding assignment as well as a quiz due for week 2.
Continue reading