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 are the prerequisites for starting in deep learning?

What is a swish function?

What is a binary step function?

What do you understand by a convolutional neural network?

What is the most used activation function?

What are the disadvantages of deep learning?

In which layer softmax activation function used?

What are the supervised learning algorithms in deep learning?

What do you mean by dropout?

Do you think that deep network is better than a shallow one?

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

Explain the importance of lstm.

Why is zero initialization not a good weight initialization process?

What is matrix element-wise multiplication?

What do you understand by perceptron?

Un-Answered Questions { AI Deep Learning }

What is tanh function?

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

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

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

Difference between machine learning and deep learning?

Is a gtx 1060 good?

What do you understand by perceptron? Also, explain its type.

What is the cost function?

What do you mean by dropout?

What do you mean by deep learning and why has it become popular now?

What is the softmax function?

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

What do you mean by "overfitting"?

Differentiate supervised and unsupervised deep learning procedures.

What are the issues faced while training in recurrent networks?

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