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 boltzmann machine?

What are Hyperparameters?

Please explain what is deep learning?

What do you understand by tensors?

What deep learning was exactly?

Explain the importance of lstm.

Which gpu is best for deep learning?

What is a swish function?

What are the issues faced while training in recurrent networks?

What is Overfitting and Underfitting and how to combat them?

What is the Boltzmann Machine?

What is model capacity?

What are the disadvantages of deep learning?

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

How does deep learning relate to ai?

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