A.The learning process or the backpropagation algorithm consists of a forward propagation process and a back-propagation process.

B.The backpropagation phase sends training inputs to the network to obtain an stimuli response

C.until the response of the network to the input reaches the predetermined target range.

D.The backpropagation algorithm is a learning algorithm suitable for multi-layer neural networks, which is based on the gradient descent method

A.Efficient sharing of massive data

B.Efficient relationship discovery data for massive data

C.Efficient storage and access requirements for massive amounts of data

D.High scalability and high availability requirements for relational analysis platforms

A.Update weights I Right Answers)

B.Building a calculation chart

C.Input tensor

D.Generate a session

A.El online games

B.El industry scene

C.El visual cognition

D.El speech semantics

A.Knowledge map

B.Machine translation

C.Riemann geometry

D.Semantic understanding