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AI Deep Learning Interview Questions
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What is the function of the fourier transform in deep learning?

 1

What do you mean by "overfitting"?

 1

What is the softmax function?

 1

What do you understand by autoencoder?

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What is an rnn?

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What is relu function?

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What are the three steps to developing the necessary assumption structure in deep learning?

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What are the different layers of autoencoders? Explain briefly.

 1

What are the unsupervised learning algorithms in deep learning?

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

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What are the applications of deep learning?

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How many layers in the neural network?

 1

What are the main differences between ai, machine learning, and deep learning?

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What is tanh function?

 1

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

 1

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Un-Answered Questions { AI Deep Learning }

What is the softmax function?

1

What are the unsupervised learning algorithms in deep learning?

1

What is a binary step function?

1

Can radeon run cuda?

1

How much gpu memory do I need?

1




Why are gpus good for deep learning?

1

What graphics card is best?

1

How does Deep Learning differ from Machine Learning?

5

What is the function of the fourier transform in deep learning?

1

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

1

What are the three steps to developing the necessary assumption structure in deep learning?

1

What is Bagging and Boosting?

5

What is model capacity?

1

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

1

What are some factors that explain the success and recent rise of deep learning?

5

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