Hi I was trying to figure out the capacity of a neural network using tensorflow. The project I was using to test amount of neurons and layers is the TinyML sinewave project Intro to TinyML Part 2: Deploying a TensorFlow Lite Model to Arduino | Digi-Key Electronics - YouTube 1. I tried doing a 1 layer with 256 neurons, 2 layers with 128, 4x64, 8x32, 16x16, 32x8, 64x4, 128x2. I had a problem with the models with neurons lower than 16 in a layer. I also noticed that the amount of layers had to decrease in order to use less neurons per layer to get a sine wave prediction. When I did 32x8 … I ended up with a line as a prediction. I am wondering why this is happening?