Company wants to analyze images to detect defects in products on an assembly line. Which type of neural network would be most suitable for this task?
- Convolutional Neural Network (CNN)
- Deep Q-Network (DQN)
- Generative Adversarial Network (GAN)
- Recurrent Neural Network (RNN)
For image analysis and object detection tasks, a 'Convolutional Neural Network (CNN)' is the most suitable choice. CNNs are designed to effectively process grid-like data, making them ideal for tasks like defect detection in images. They excel at identifying patterns and features in images.
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