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 }

What is model capacity?

How does Deep Learning differ from Machine Learning?

What are the issues faced while training in recurrent networks?

Why are gpus good for deep learning?

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

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 are the main benefits of mini-batch gradient descent?

What is data normalization and why do we need it?

Why is TensorFlow the most preferred library in Deep Learning?

What is meant by deep learning?

Which os is best for deep learning?

How much ram is needed for deep learning?

What do you understand by tensors?

What is a binary step function?

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