AI Deep Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Deep Learning Interview Questions

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What is Deep Learning?

What is the cost function?

What are the Softmax and ReLU functions?

What is the difference between Epoch, Batch and Iteration in Deep Learning?

What are Vanishing and Exploding Gradients?

Is deep learning better than machine learning?

What do you understand by Backpropagation?

What are the differences between Machine Learning and Deep Learning?

What are some factors that explain the success and recent rise of deep learning?

What is Dropout and Batch Normalization?

What is Bagging and Boosting?

Difference between machine learning and deep learning?

What is a Multi-Layer Perceptron (MLP)?

Explain a Computational Graph.

What is data normalization and why do we need it?

Un-Answered Questions { AI Deep Learning }

What do you understand by Backpropagation?

What is overfitting and underfitting?

How does Deep Learning differ from Machine Learning?

Is deep learning better than machine learning?

What are Vanishing and Exploding Gradients?

What is the difference between Epoch, Batch and Iteration in Deep Learning?

Is gtx 1060 good for deep learning?

why do we need data normalization?

What are the Softmax and ReLU functions?

What are the issues faced while training in recurrent networks?

Explain what is deep learning, and how does it contrast with other machine learning algorithms?

Are cuda cores important?

What is the cost function?

What are cuda cores good for?

How much ram is needed for deep learning?

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