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Questions and Answers
What is knowledge distillation?
What is knowledge distillation?
- Reducing the precision of the parameters and activations in the network
- Training a smaller network to mimic the behavior of a larger, pre-trained network (correct)
- Removing unnecessary neurons and connections in the network
- Using techniques such as singular value decomposition and low-rank factorization
What is an example of hardware-specific optimization?
What is an example of hardware-specific optimization?
- Quantization
- Model compression
- Pruning
- Using Graphical Processing Units (GPU) or Tensor Processing Units (TPU (correct)
What is the main purpose of pruning?
What is the main purpose of pruning?
- To reduce the number of parameters and computations required during inference (correct)
- To decrease memory usage and computation time
- To train a smaller network to mimic the behavior of a larger, pre-trained network
- To use techniques such as singular value decomposition and low-rank factorization
