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AI Deep Learning Interview Questions
Questions Answers Views Company eMail

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?

 1

What is an rnn?

 1

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?

 1

What are the applications of deep learning?

 1

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 do you understand by deep autoencoders?

1

What is overfitting and underfitting?

1

How many types of activation function are available?

1

What do you mean by dropout?

1

What is Dropout and Batch Normalization?

5

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

5

What do you understand by tensors?

1

What is the use of deep learning in today's age, and how is it adding data scientists?

1

How much ram is needed for deep learning?

1

Are cuda cores important?

1

What is Bagging and Boosting?

5

Why is zero initialization not a good weight initialization process?

1

What are the Softmax and ReLU functions?

5

How many layers in the neural network?

1

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

1

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