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AI Deep Learning Interview Questions
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What are the prerequisites for starting in deep learning?

 1

What is a swish function?

 1

What is a binary step function?

 1

What do you understand by a convolutional neural network?

 1

What is the most used activation function?

 1

What are the disadvantages of deep learning?

 1

In which layer softmax activation function used?

 1

What are the supervised learning algorithms in deep learning?

 1

What do you mean by dropout?

 1

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

 1

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

 1

Explain the importance of lstm.

 1

Why is zero initialization not a good weight initialization process?

 1

What is matrix element-wise multiplication?

 1

What do you understand by perceptron?

 1

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Un-Answered Questions { AI Deep Learning }

How much gpu memory do I need?

1

What graphics card is best?

1

What is a swish function?

1

Why is TensorFlow the most preferred library in Deep Learning?

5

What are the main benefits of mini-batch gradient descent?

1




What are cuda cores good for?

1

What do you understand by tensors?

1

What is tanh function?

1

Is a gtx 1060 good?

1

What is the most used activation function?

1

How does deep learning relate to ai?

1

What are Vanishing and Exploding Gradients?

5

What is encoder in deep learning?

5

What is the sigmoid function?

1

How much ram is needed for deep learning?

1

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