What are the cutting-edge voice technologies?
A. Language model
B. Neural Network
C. Adaptive technology
D. Quantum computing
正解:A,B,C
質問 2:
What algorithm engines are supported by ModelArts training assignments? (Multiple Choice)
A. MXNet
B. TensorFlow
C. PyTorch
D. Spark MLlib
正解:A,B,C,D
質問 3:
What is incorrect about the following analysis?
A. Chinese is different from English natural word segmentation. Chinese word segmentation is a basic step in text processing. The performance of word segmentation directly affects the performance of other modules such as part of speech, syntax, etc.
B. The purpose of statistical word segmentation is to calculate the probability of the word segmentation result and obtain the word segmentation method with the highest probability
C. Rule-based word segmentation is simple and efficient, but dictionary maintenance is difficult
D. In practical engineering applications, word segmentation generally uses only one word segmentation method
正解:D
質問 4:
A door that is not a cell in LSM?
A. Forgotten door
B. Memory gate
C. Output gate
D. Input gate
正解:B
質問 5:
Which network structure does the convolutional neural network include?
A. Convolutional layer
B. Output layer
C. Pooling layer
D. Fully connected layer
正解:A,C,D
Satou -
順調にH13-321を取得することができました。貴社のトレーニング資料をしっかり覚えるだけで無事合格できました。ありがとうございました。