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AI Deep Learning Interview Questions
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Why is TensorFlow the most preferred library in Deep Learning?

 5

What is Gradient Descent?

 5

What is encoder in deep learning?

 5

What is an auto-encoder?

 5

What will happen if the learning rate is set too low or too high?

 5

How does Deep Learning differ from Machine Learning?

 5

What is Overfitting and Underfitting and how to combat them?

 5

What is the Boltzmann Machine?

 5

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

 5

What are Hyperparameters?

 5

What is overfitting and underfitting?

 1

why do we need data normalization?

 1

What is data normalization?

 1

Differentiate supervised and unsupervised deep learning procedures.

 1

What do you understand by perceptron? Also, explain its type.

 1

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Un-Answered Questions { AI Deep Learning }

What do you understand by deep autoencoders?

1

What is Overfitting and Underfitting and how to combat them?

5

Is 16gb of ram a lot?

1

What do you understand by Backpropagation?

5

What is model capacity?

1




What is a binary step function?

1

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

1

How does deep learning relate to ai?

1

What is Dropout and Batch Normalization?

5

How does Deep Learning differ from Machine Learning?

5

What is Bagging and Boosting?

5

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

1

What is a swish function?

1

Is gtx 1060 good for deep learning?

1

What is a Multi-Layer Perceptron (MLP)?

5

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