Hello,
I managed to setup a simple linear network with 2 hidden layers. Input data is 123 examples and 450 features. Predicting 12 output values (regression using MSELoss with Adam). Couple questions, my goal is to let the neural network perform feature selection/engineering. Then, I want to generate a new dataset based on this. For example, I learn some weights and then given a new dataset, say I pass the input through the weights without activations, those are my new learned examples based on the learned representation of my network?