Machine Learning Questions

1.What is LSTM? How it works (engineering and therotical)? What’s the pros and cons of LSTM

2.What’s RNN? What’s GRU? The difference between RNN, GRU, LSTM? Comapre between them?

3. What’s Reinforcement Learning? How it works? An example of RL?

4. What’s Max-Pooling (Average-Polling)? How it works?

5. What Gradient Descent algorithms have you used? What’s Adam Optimiser? The advantage of using it? The difference between it and other optimisation methods?

6. How does multiple GPU (4 GPUs) training works? How will weights and back-propagation behave?

7. How does OD algorithms works? How do you know which bounding box is the one that contains things you want?