# Keras - How to classify 1D time series

Say I have a training dataset composed by 128 1-Dimensional time series in form of numpy arrays.

They all correspond to a certain action that I label action_1 and I want to recognize.

What would be the most efficient way to accomplish the following taks:

• Train a model with the training dataset (the 128 1-D numpy arrays)
• Ask the model to predict the action in a new test entry (a 1-D numpy array)

This is my very first attempt at Machine Learning, thank you in advance for any indications.