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‘Deep Learning Interview Questions’ Interview Questions

Top 100 Machine Learning Interview Questions and Answers (All free)

What is the “dead ReLU” problem and, why is it an issue in Neural Network training?

Why is Zero-centered output preferred for an activation function?

What is the vanishing and exploding gradient problem, and how are they typically addressed?

What do you mean by saturation in neural network training? Discuss the problems associated with saturation

Describe briefly the training process of a Neural Network model

What is Long-Short Term Memory (LSTM)?

Briefly describe the architecture of a Recurrent Neural Network (RNN)

What is the difference between a Batch and an Epoch?

What is Dropout?

What are some strategies to address Overfitting in Neural Networks?

What are some options for making Backpropagation more efficient?

What is Backpropagation?

How are Regression and Classification performed using multilayer perceptrons (MLP)?

What are some guidelines for choosing activation functions?

Discuss Softmax activation function

What is Rectified Linear Unit (ReLU) activation function? Discuss its advantages and disadvantages

Discuss TanH activation function

What is Sigmoid (logistic) activation function?

What is an activation function, and what are some of the most common choices for activation functions?

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‘Deep Learning Interview Questions’ Interview Questions