PyTorch 实现与追问
- 题目来源
- Devinterview 其中第 85—146 题的题目索引来自 Devinterview，答案由 AIMLInterviews 重新撰写；原文的 50 题补充部分在此收录为 62 道，含拆分追问。
How does autograd work?
原题What are the main steps for creating a neural-network model?
原题How does nn.Sequential differ from subclassing nn.Module?
原题How do you implement a custom layer?
原题What is the role of forward?
原题What are optimizers, and how are they used?
原题Why and when do you call zero_grad()?
原题How do you implement learning-rate scheduling?
原题Describe backpropagation in PyTorch.
原题How does gradient clipping work, and why is it useful?
原题
暂无题目