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 }

Explain what is deep learning, and how does it contrast with other machine learning algorithms?

What graphics card is best?

Please explain what is deep learning, and how does it contrast with other machine learning algorithms?

Is 16gb of ram a lot?

What is Dropout and Batch Normalization?

Which laptop is good for deep learning?

What is Deep Learning?

What do you understand by autoencoder?

What is a swish function?

What are the unsupervised learning algorithms in deep learning?

What is Bagging and Boosting?

How much gpu memory do I need?

How does Deep Learning differ from Machine Learning?

What are the three steps to developing the necessary assumption structure in deep learning?

Why is zero initialization not a good weight initialization process?

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