An organization wants to develop a system that can identify objects in real-time from video feeds, regardless of the objects' positions or angles in the frames. Which neural network characteristic is crucial for this?
- Invariance to Translation
- Time Series Processing Capability
- Memory of Past Sequences
- Radial Basis Function Network
"Invariance to Translation" is crucial because it allows the network to recognize objects regardless of their position or orientation in the frames, a key requirement for real-time object detection.
Loading...
Related Quiz
- Which evaluation metric would be least affected by a large number of true negatives in a dataset?
- How do activation functions, like the ReLU (Rectified Linear Unit), contribute to the operation of a neural network?
- Why is feature selection important in building machine learning models?
- The ________ in LSTMs help prevent the vanishing gradient problem common in traditional RNNs.
- Which type of machine learning is primarily concerned with using labeled data to make predictions?