Your first neural net

All that buzz around AI and Deep Learning, but we already promised you it is not so scary when you take a look under the hood.

You're going to create your first neural network, to solve a classification task.

You are working with labelled sensor data which has:

16 input columns, representing 16 features coming from a movement sensor of a smartwatch.
a target column representing one of 4 movement types: walking, running, sitting, lying.

All the ingredients have been loaded for you: the Sequential() model and the Dense() layer -- you just have to put the ingredients in the right order, just like stacking pancakes!

Initialize a Sequential() network.
Set a fully connected Dense() hidden layer with 8 units (neurons), making sure to specify the correct input size to match the dimensions of the input data.
Set another fully connected Dense() layer at the output, making sure to specify the correct number of output units, defined by the number of output classes of your problem.
Compile the model!

Take Hint (-30 XP)

Exercise

Your first neural net

Instructions