In this Neural Networks Tutorial, we are going to do Point Cloud Classification with PointNet. We are going to load in a dataset with point clouds of different objects. We will create the PointNet architecture from the bottom, train it on the dataset, and then do predictions on new point clouds that the neural network has not seen before. We will go through the process, talk about what point clouds are, and evaluate the results.

The code example is available on my GitHub: https://github.com/niconielsen32​

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#keras #tensorflow