AI in the Cloud, the next big thing!

I'll start with a brief overview on Cloud. Usually people define the cloud as software or services that run on the Internet rather than on your local machine. This is correct to a degree, but nothing really runs on the Internet;it runs on machines that are connected to the Internet. Understanding that...

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Using MatPlotLib to graph the loss and the accuracy for ML algorithms

In this post we are going to run our base code from the previous post again and do some analysis of the run using MatPlotLib. Assuming MatPlotLib is installed (if not pip3 install MatPlotLib) we'll do the following changes to the code from previous post: 1. Add the history variable to the output of...

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More on Machine Learning

We developed algorithms and programs that can learn things about data and about sensory input and apply that knowledge to new situations. However, our machines do not “understand” anything about what they have learned. They have just accumulated data about their inputs and have transformed that...

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Building a Python Neural Network in TensorFlow

For our neural-network example in TensorFlow, we will use the same network that we used to implement an XOR gate with Python in our previous post. I've already covered TensorFlow, a Python-friendly application framework and collection of functions designed for AI uses, especially with neural networks...

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