How many parameters would you need for a feedforward neural network that contained biases and no hidden units? $190195$ o $200210$ XMarkov vs Feedforward $3$zerinden $1$ puan $($notland$$r$$lan$)$ What are some advantages of the feedforward NN as described in the lecture versus Markov models? $($Choose all that apply.$)$ They contain a fewer number of parameters We can easily control the complexity of feedforward NN by introducing hidden layers They are able to encode more complex transition probabilities than Markov Models X