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1. The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.

A) FALSE
B) TRUE

2. In NLP tasks, transformer models perform well in multiple tasks due to their self-attention mechanism and parallel computing capability. Which of the following statements about transformer models are true?

A) Transformer models outperform RNN and CNN in processing long texts because they can effectively capture global dependencies.
B) A transformer model directly captures the dependency between different positions in the input sequence through the self-attention mechanism, without using the recurrent neural network (RNN) or convolutional neural network (CNN).
C) Positional encoding is optional in a transformer model because the self-attention mechanism can naturally process the order information of sequences.
D) Multi-head attention is the core component of a transformer model. It computes multiple attention heads in parallel to capture semantic information in different subspaces.

3. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

A) Tanh
B) Sigmoid
C) SeLU
D) ReLU

4. Which of the following are the impacts of the development of large models?

A) Model pre-training costs will be reduced
B) Large models will completely replace small and domain-specific models
C) The accuracy and efficiency of natural language processing tasks will improve
D) Data privacy and security issues will be exacerbated

5. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

A) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
B) Gamma correction applies only to grayscale images and does not apply to color images.
C) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
D) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.

Solutions: