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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 }

Is deep learning better than machine learning?

5

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

1

Explain the types of perceptron?

1

What do you understand by deep learning?

1

What do you understand by autoencoder?

1




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

1

What is data normalization?

1

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

1

What are the issues faced while training in recurrent networks?

1

What are the different layers of autoencoders? Explain briefly.

1

Can titan v do ray tracing?

1

What is the use of the activation function?

1

What is a swish function?

1

Which gpu is best for deep learning?

1

What is Gradient Descent?

5

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