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 }

Are cuda cores important?

What is an auto-encoder?

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

What is the use of the activation function?

What do you understand by autoencoder?

Differentiate supervised and unsupervised deep learning procedures.

What is a Multi-Layer Perceptron (MLP)?

What do you understand by deep learning?

What is an rnn?

How does Deep Learning differ from Machine Learning?

What do you mean by "overfitting"?

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

Explain the types of perceptron?

Can titan v do ray tracing?

How much ram is needed for deep learning?

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