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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?

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What do you understand by autoencoder?

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What is an rnn?

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What is relu function?

 1

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

 1

What are the different layers of autoencoders? Explain briefly.

 1

What are the unsupervised learning algorithms in deep learning?

 1

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?

 1

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 deep learning was exactly?

1

Is 16gb of ram a lot?

1

why do we need data normalization?

1

What is Deep Learning?

5

Why is zero initialization not a good weight initialization process?

1




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

1

What is Dropout and Batch Normalization?

5

What is the use of the activation function?

1

Can radeon run cuda?

1

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

5

Is deep learning better than machine learning?

5

What graphics card is best?

1

What is encoder in deep learning?

5

What is the Boltzmann Machine?

5

Explain the types of perceptron?

1

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