AI Deep Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Deep Learning Interview Questions

Questions Answers Views Company eMail

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 }

Explain the different layers of cnn.

How does deep learning relate to ai?

What is matrix element-wise multiplication?

What is the Boltzmann Machine?

Is a gtx 1060 good?

What is an rnn?

What is the cost function?

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

Describe the theory of autonomous form of deep learning in a few words.

What do you understand by Backpropagation?

What is encoder in deep learning?

Which os is best for deep learning?

What is data normalization?

What is relu function?

What is the use of deep learning in today's age, and how is it adding data scientists?

For More Un-Answered { AI Deep Learning } Questions Click Here