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 a gpu used for?

What do you understand by autoencoder?

What are the applications of deep learning?

Can titan v do ray tracing?

Explain gradient descent?

What are the issues faced while training in recurrent networks?

What is model capacity?

Can relu function be used in output layer?

What is the most used activation function?

Explain the following variant of gradient descent: stochastic, batch, and mini-batch?

How many layers in the neural network?

What is an rnn?

What is a binary step function?

What is matrix element-wise multiplication? Explain with an example.

What is the sigmoid function?

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