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 }

Is gtx 1060 good for deep learning?

What are the disadvantages of deep learning?

Is a gtx 1060 good?

What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?

Please explain what is deep learning?

What do you understand by boltzmann machine?

Can titan v do ray tracing?

What are the prerequisites for starting in deep learning?

What do you understand by a convolutional neural network?

What is Dropout and Batch Normalization?

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

Why are gpus good for deep learning?

What is deep learning and how does it relate to ai?

What is matrix element-wise multiplication? Explain with an example.

Can radeon run cuda?

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