Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide parallel computing capabilities.:
A. Motherboard
B. RAM
C. GPU
D. CPU
TensorFlow It is an end-to-end open source platform for machine learning and deep learning.
A. TRUE
B. FALSE
The following does not belong TensorFlow2.0 Is characterized by?
A. Multi-core CPU accelerate
B. distributed
C. multi-language
D. Multi-platform
Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?
A. __init__,Initialization parameters(Parameter), Submodule(Ce11),operator(Primitive)Equal group Software for initial verification
B. Construct, Define the execution process. In graph mode, it will be compiled into graphs for execution, and there is no syntax restriction
C. There's some left optim Commonly used optimizers,wrap Pre-defined commonly used network packaging functions Ce11
D. bprop (Optional), The reverse of the custom module
HUAWEI HiAI Which tool does the platform support to integrate with?
A. Jupyter Notebook
B. MyEclipse
C. Android Studio
D. Spider
Which of the following options are
A. ak
B. region
C. project_id
D. sk
Which of the following is not a face recognition technology?
A. Face search
B. Face comparison
C. Face Detection
D. Remake recognition
Which of the following neural network structures will share weights? (Multiple choice)
A. Convolutional neural network
B. Recurrent neural network
C. Fully connected neural network
D. All of the above
The Python dictionary is identified by "{}", and the internal data consists of the key and its corresponding value.
A. True
B. False