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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 }

What is the meaning of term weight initialization in neural networks?

1

What is a Multi-Layer Perceptron (MLP)?

5

Explain data normalization.

1

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

5

What is Overfitting and Underfitting and how to combat them?

5




Is deep learning better than machine learning?

5

What is the softmax function?

1

What deep learning was exactly?

1

What do you mean by deep learning and why has it become popular now?

1

Is 16gb of ram a lot?

1

What are Vanishing and Exploding Gradients?

5

What is a swish function?

1

What do you understand by tensors?

1

How many types of activation function are available?

1

Which laptop is good for deep learning?

1

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