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

1

How many types of activation function are available?

1

What is Gradient Descent?

5

What are the disadvantages of deep learning?

1

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

5




What was deep learning?

1

Why are gpus good for deep learning?

1

Are cuda cores important?

1

What is a binary step function?

1

What is a swish function?

1

Why is TensorFlow the most preferred library in Deep Learning?

5

What are the prerequisites for starting in deep learning?

1

What graphics card is best?

1

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

1

What do you understand by a convolutional neural network?

1

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