How to train a simple neural network with the theanets library in a few lines of code?
In this working example we generate simple synthetic data, create a classifier, train it and evaluate it. Then you can start with your own experiments with much more powerful networks.
Let's start with something basic - with data. Since in machine learning we solve problems by learning from data we need to prepare and understand our data well. This time we explore the classic Boston house pricing dataset - using Python and a few great libraries. We'll learn the big ...
Neural Thoughts. Human neurons thinking about artificial neurons. Welcome to a new blog on learning Machine Learning written by Bohumír Zámečník.
I come from the Software Engineering world and recently got excited by the Machine Learning (ML) field. It allows to solve really difficult and cool problems. Such problems I ...
© Bohumír Zámečník 2015
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