What difficulties of traditional machine game theory have been solved by artificial intelligence technology?
A. Go has a huge search space
B. The relationship between the pieces can only be accurately determined by analyzing the layout of the previous pieces
C. Disk evaluation is closely related to game tree search
D. High-level knowledge of Go is also difficult to generalize
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What are the five types of biologically related brain like navigation cells ()① Head direction cell ② Velocity cell ③ Border cell④ Grid cell ⑤ Positional cell ⑥ Striated cell
A. ①②③⑤⑥
B. ①②③④⑤
C. ②③④⑤⑥
D. ①③④⑤⑥
E. ①②④⑤⑥
F. ①②③④⑥
The following operation rules are wrong: ()
A. In implication operation, if A is true, when B is true, A → B is true, B is false, a → B is false.
B. In implication operation, if A is false, then whether B is true or false, a → B is true.
C. In the absorption operation, A ∨ (A ∧ B) = A, A ∧ (A ∨ B) = B.
D. In the complementary law, A∧ (-A) = 0, a∨ (-A) = 1.
In the following statement about brain computer interface, the wrong one is ( )
A. Brain computer interface system generally includes two parts: signal acquisition and signal processing
Brain computer interface (BCI) is a kind of communication control system established by EEG signal between brain and external equipment
C. Brain computer interface system depends on the communication between nervous system and muscle tissue
D. Signal acquisition is mainly used to filter EEG signals and eliminate interference noise
() is false statement about CNN.
Artificial neural network is mainly composed of input layer, hidden layer and output layer.Deep learning generally requires multiple hidden layers.
B. The convolutional neural network has the characteristics of natural network weight sharing and local sparse network connection, which also coincides with the sparse response characteristic of biological neurons.
Convolutional neural network has two basic concepts: weight sharing and pooling.Weight sharing reduces the number of weight parameters.Pooling can reduce the characteristic graph and simplify the calculation.
D. The function of loss function layer is used to estimate the difference between the predicted value and the actual value of the model. It is a non-negative real numerical function.
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