Which of the following technologies is commonly used for image feature extraction and related research?
Convolutional neural network
Naive Bayes classification algorithm
Long short-term memory (LSTM) network
Word2Vec
In Deep Learning, which activation function maps input values to the interval (0,1) and is often used in the output layer for binary classification?
Swish
Tanh
ReLU
Sigmoid
The MoE architecture improves foundation model efficiency by using which specific mechanism to select a subset of 'experts' for each prediction?
Gating mechanism
Max pooling
Backpropagation
Data augmentation
The process of developing AI applications includes ( ).
Data preprocessing
Modeling
Model training
Model deployment
Typically, in a network that uses sigmoid, the gradient decreases to 0 within five layers, making the network difficult to train.
True
False
If the hyperparameter search space is large, random search is better than grid search.
True
False