Jul 24, 2017 · 1 min read
Hi and thank you for the response :)
So in theory adding more hidden layers leads to same or better results ?
Can you explain what is “interesting features” ? I‘ve read that hidden layers achieve combinations of values… So with more HL you have more complex combinations ?
If I want to build a neural network to recognize numbers, two layers (1 hidden) is enough ?
