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AI Deep Learning Interview Questions
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What is Deep Learning?

 5

What is the cost function?

 5

What are the Softmax and ReLU functions?

 5

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

 5

What are Vanishing and Exploding Gradients?

 5

Is deep learning better than machine learning?

 5

What do you understand by Backpropagation?

 5

What are the differences between Machine Learning and Deep Learning?

 5

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

 5

What is Dropout and Batch Normalization?

 5

What is Bagging and Boosting?

 5

Difference between machine learning and deep learning?

 5

What is a Multi-Layer Perceptron (MLP)?

 5

Explain a Computational Graph.

 5

What is data normalization and why do we need it?

 5

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Un-Answered Questions { AI Deep Learning }

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

1

Is 16gb of ram a lot?

1

What are cuda cores good for?

1

What is the cost function?

5

What is the use of the activation function?

1




Explain the types of perceptron?

1

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

1

What is data normalization?

1

How much ram is needed for deep learning?

1

What is the Boltzmann Machine?

5

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

1

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

1

Explain data normalization.

1

What do you understand by tensors?

1

What do you understand by deep autoencoders?

1

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