Neural Networks with Python - [Part 5]

In this tutorial we are starting to build a single layer neural network with neurolab and Python.

Here's a breakdown of the process:

• we use a simple dataset that has been used previously in this series
• separate it into features and labels
• we inspect it (with the help of a scatter plot)
• set the minimum and maximum values for each input dimension
• set the value for the output neuron
• define the neural net architecture
• we train it on the dataset for 100 epochs with a learning rate of 0.03
• we do some more plotting
• test the neural net on new data.

If you want to make some sense out of what I am saying here, please see the video below :)

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Cristi Vlad Self-Experimenter and Author