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 }

Can relu function be used in output layer?

How much gpu memory do I need?

How many types of activation function are available?

What is Bagging and Boosting?

What is data normalization and why do we need it?

What do you mean by "overfitting"?

Which laptop is good for deep learning?

What are the main differences between ai, machine learning, and deep learning?

What is the cost function?

Explain the importance of lstm.

What is overfitting and underfitting?

What is the use of leaky relu function?

What is encoder in deep learning?

What do you understand by a convolutional neural network?

What is an rnn?

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