Deep Learning Intern Interview Questions and Answers

Pooling is a technique used in convolutional neural networks to reduce the spatial dimensions of the input volume.

• Pooling helps in reducing the computational complexity of the network by reducing the number of parameters and computations in the network.

• Common types of pooling include max pooling and average pooling.

• Max pooling selects the maximum value from a group of values in the input, while average pooling calculates the average value.

• Pooling helps in making the network m...read more

Xgboost is a scalable and accurate implementation of gradient boosting machines.

• Xgboost stands for eXtreme Gradient Boosting.

• It is a popular machine learning algorithm known for its speed and performance.

• Xgboost is used in various fields such as data science competitions, finance, and healthcare.

• It can handle missing data and is resistant to overfitting.

• Example: Xgboost has been used to win multiple Kaggle competitions.