AI Deep Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Deep Learning Interview Questions

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What are the prerequisites for starting in deep learning?

What is a swish function?

What is a binary step function?

What do you understand by a convolutional neural network?

What is the most used activation function?

What are the disadvantages of deep learning?

In which layer softmax activation function used?

What are the supervised learning algorithms in deep learning?

What do you mean by dropout?

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

Explain the following variant of gradient descent: stochastic, batch, and mini-batch?

Explain the importance of lstm.

Why is zero initialization not a good weight initialization process?

What is matrix element-wise multiplication?

What do you understand by perceptron?

Un-Answered Questions { AI Deep Learning }

What graphics card is best?

What is deep learning and how does it relate to ai?

Why are gpus good for deep learning?

Difference between machine learning and deep learning?

What is the Boltzmann Machine?

What is the most used activation function?

What is Deep Learning?

Differentiate supervised and unsupervised deep learning procedures.

Explain the different layers of cnn.

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

What do you understand by deep autoencoders?

Is rtx 2060 good for deep learning?

What is a Multi-Layer Perceptron (MLP)?

Why is zero initialization not a good weight initialization process?

What are the different layers of autoencoders? Explain briefly.

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