What are the different layers of autoencoders? Explain briefly.
What are the disadvantages of deep learning?
What are the main benefits of mini-batch gradient descent?
How does Deep Learning differ from Machine Learning?
What are some factors that explain the success and recent rise of deep learning?
What is the meaning of term weight initialization in neural networks?
What do you understand by deep autoencoders?
What are the prerequisites for starting in deep learning?
What are the differences between Machine Learning and Deep Learning?
Explain data normalization.
What are Hyperparameters?
What do you understand by Backpropagation?
Tell me how does deep learning contrast with other machine learning algorithms?
What is overfitting and underfitting?
What do you mean by deep learning and why has it become popular now?