What are the application scenarios of computer vision?
Answer(s): A,B,C
Computer vision, a subfield of AI, has various application scenarios that involve the analysis and understanding of images and videos. Some key application scenarios include:Video action analysis: Identifying and analyzing human actions or movements in videos.Image search: Using visual information to search for similar images in large databases. Smart albums: Organizing and categorizing photos using AI-based image recognition algorithms to group them by themes, people, or events.Voice navigation is a part of natural language processing and speech recognition, not computer vision.
Huawei HCIA-AI Certification, AI Applications in Computer Vision.
Which of the following is NOT a commonly used AI computing framework?
Answer(s): D
OpenCV is a library used primarily for computer vision tasks like image and video processing. It is not considered an AI computing framework in the same way as PyTorch, MindSpore, or TensorFlow, which are commonly used frameworks for developing AI and machine learning models. AI frameworks like PyTorch, TensorFlow, and Huawei's MindSpore are designed to facilitate the development and deployment of deep learning models.
Huawei HCIA-AI Certification, AI Development Frameworks.
"Today's speech processing technology can achieve a recognition accuracy of over 90% in any case." Which of the following is true about this statement?
Answer(s): B
While speech recognition technology has improved significantly, its accuracy can still be affected by external factors such as noise, background sound, accents, and speech clarity. Although systems can achieve over 90% accuracy under controlled conditions, the accuracy drops in noisy or complex real- world environments. Therefore, the statement that today's speech processing technology can always achieve high recognition accuracy is incorrect.Speech recognition systems are sophisticated but still face challenges in environments with heavy noise, where the technology has difficulty interpreting speech accurately.
Huawei HCIA-AI Certification, AI Applications in Speech Processing.
"AI application fields include only computer vision and speech processing." Which of the following is true about this statement?
Answer(s): A
AI is not limited to just computer vision and speech processing. In addition to these fields, AI encompasses other important areas such as natural language processing (NLP), robotics, smart finance, autonomous driving, and more. Natural language processing focuses on understanding and generating human language, while other fields apply AI to various industries and applications such as healthcare, finance, and manufacturing. AI is a broad field with numerous application areas.
Huawei HCIA-AI Certification, AI Overview and Applications.
Which of the following are common gradient descent methods?
Answer(s): A,B,D
The gradient descent method is a core optimization technique in machine learning, particularly for neural networks and deep learning models. The common gradient descent methods include:Batch Gradient Descent (BGD): Updates the model parameters after computing the gradients from the entire dataset.Mini-batch Gradient Descent (MBGD): Updates the model parameters using a small batch of data, combining the benefits of both batch and stochastic gradient descent. Stochastic Gradient Descent (SGD): Updates the model parameters for each individual data point, leading to faster but noisier updates.Multi-dimensional gradient descent is not a recognized method in AI or machine learning.
Huawei HCIA-AI Certification, Machine Learning Algorithms.
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