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 is the softmax function?

How much gpu memory do I need?

What was deep learning?

Explain the types of perceptron?

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

Which laptop is best for research?

What is the meaning of term weight initialization in neural networks?

What is the cost function?

What is the Boltzmann Machine?

What is Dropout and Batch Normalization?

What is the sigmoid function?

What is model capacity?

Is deep learning better than machine learning?

What do you understand by autoencoder?

Are cuda cores important?

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