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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are the programming elements in TensorFlow?

1 65

What is a Neural Network?

1 1416

What is the role of activation functions in a Neural Network?

1 1308

What is the difference between a Feedforward Neural Network and Recurrent Neural Network?

1 1469

What are the applications of a Recurrent Neural Network (RNN)?

1 1386

How are weights initialized in a network?

1 1187

What is Pooling in CNN and how does it work?

1 1402

Explain Generative Adversarial Network.

1 1207

What are the different layers in CNN?

1 1502

How does an LSTM network work?

1 1245

What is Deep Learning?

1 59

What is the cost function?

1 55

What are the Softmax and ReLU functions?

1 53

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

1 64

What are Vanishing and Exploding Gradients?

1 58


Un-Answered Questions { Artificial Intelligence }

What are the best practices for deploying Generative AI models in production?

97


How is AI used in procedural content generation?

133


Explain the difference between data bias and algorithmic bias.

38


Explain how AI models predict stock market trends.

117


What are the benefits and risks of using AI in financial risk analysis?

115


What frameworks can you use for ethical AI development?

123


Explain the risks of adversarial attacks on AI models.

48


How do you approach deployment of AI models?

127


What are the advantages of low-power AI models?

120


What techniques can be used to make AI models more fair?

127


Is this artificial intelligence lives over the other software programs and their flexibility?

957


What are the societal benefits of explainable AI?

35


How does human feedback improve AI models?

143


What are the apis outside tensorflow project?

44


How do Generative AI models create synthetic data?

92