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 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 }

Explain the types of perceptron?

What are the disadvantages of deep learning?

What do you understand by tensors?

Difference between machine learning and deep learning?

What are the unsupervised learning algorithms in deep learning?

What do you mean by deep learning?

What is Gradient Descent?

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

Is 8gb ram enough?

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

What is a gpu used for?

why do we need data normalization?

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

What do you understand by deep autoencoders?

How does deep learning relate to ai?

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