A.Backpropagation algorithm mainly consists of two links (incentive propagation, weight update) iteratively iterate until the target range of the network's response to the input

B.Back propagation algorithm is suitable for a learning algorithm of multi-layer neural network, which is based on the gradient descent method

C.The learning process of the backpropagation algorithm consists of the forward propagation process and the back propagation process

D.Back-propagation stage sends training input to the network to obtain stimulus response

A.Mac OS

B.Docker

C.OpenStack

D.Linux

A.FALSE

B.TRUE

A.Poisson distribution is not related to the binomial distribution

B.The mathematical model of Poisson distribution and Binomial distribution are both Lagrangian probability

C.Poisson distribution can replace binomial distribution

D.Poisson distribution and binomial distribution when n is very large and p is very small

A.The deep feedforward network has only one hidden layer.

B.Deep feedforward network 1s a kind of neural network.

C.Deep feedforward network 1s used to deal with linear problems.

D.The unit on the hidden layer of the deep feedforward network will have countless.