Related InterviewSolutions

• Explain the different types of activation functions.
• Differentiate between Deep Learning and Machine Learning.
• What do you know about Dropout?
• Mention the applications of autoencoders.
• What are autoencoders? Explain the different layers of autoencoders.
• What exactly do you mean by exploding and vanishing gradients?
• How does Recurrent Neural Network backpropagation vary from Artificial Neural Network backpropagation?
• Differentiate between bias and variance in the context of deep learning models. How can you achieve balance between the two?
• According to you, which one is more powerful - a two layer neural network without any activation function or a two layer decision tree?
• Can a deep learning model be solely built on linear regression?