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 is Deep Learning?

What is the cost function?

What are the Softmax and ReLU functions?

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

What are Vanishing and Exploding Gradients?

Is deep learning better than machine learning?

What do you understand by Backpropagation?

What are the differences between Machine Learning and Deep Learning?

What are some factors that explain the success and recent rise of deep learning?

What is Dropout and Batch Normalization?

What is Bagging and Boosting?

Difference between machine learning and deep learning?

What is a Multi-Layer Perceptron (MLP)?

Explain a Computational Graph.

What is data normalization and why do we need it?

Un-Answered Questions { AI Deep Learning }

What is Bagging and Boosting?

What do you understand by deep learning?

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

Explain the types of perceptron?

What is an auto-encoder?

Why is TensorFlow the most preferred library in Deep Learning?

What is a Multi-Layer Perceptron (MLP)?

What is Dropout and Batch Normalization?

Explain the importance of lstm.

What is the softmax function?

What is the sigmoid function?

What is the meaning of term weight initialization in neural networks?

What is a swish function?

Which gpu is best for deep learning?

What is data normalization and why do we need it?

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