Understanding neural network architecture options


I want to understand and learn about different neural network options available in classification.
and when to use which one. like in my case I want to detect 3 states from a light sensor. box open event, close, or idle.

I only found this but not much info about layers. Classification (Keras) - Edge Impulse Documentation

Hi @trailSpark47,

I recommend reading some articles on the popular architectures out there. Here are a few to get you started:

Please note that we do not support RNNs (including LSTM) quite yet (see this post for more information).