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A collection of deep learning questions and answers covering a range of topics, from basic concepts to advanced techniques.
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1. What is the purpose of a neural network?
2. What are some of the ethical considerations that arise from the use of deep learning?
3. What is the difference between a batch and an epoch?
4. What is the difference between a forward pass and a backward pass?
5. What is the difference between a GPU and a CPU?
6. What is overfitting and how can it be prevented?
7. What is the difference between deep learning and machine learning?
8. What are some of the future trends in deep learning?
9. What is the role of backpropagation in training deep learning models?
10. What is the difference between a convolutional neural network (CNN) and a recurrent neural network (RNN)?
11. What is the role of regularization in deep learning?
12. What is the difference between a loss function and an activation function?
13. What is the difference between a convolutional layer and a pooling layer?
14. What are some of the applications of deep learning?
15. What is the difference between supervised and unsupervised learning?