hidden unit or one hit unit that's the same now the neural network will have m hidden units and i will be working in a regime where the number of hidden units is bigger than the dimension p so this is the over parametrized two-layer neural network i will be optimizing over the weights of the first layer this matrix w and the second layer will be fixed the weights of the second layer will be fixed to one over m or to one and i use the scaling one over m so i'm not really learning here the second layer but that