FAQ on Artificial Intelligence

Overfitting is avoided in neural nets by making use of a regularization technique called ‘dropout.’ By making use of the concept of dropouts, random neurons are dropped when the neural network is being trained to use the model doesn’t overfit. If the dropout value is too low, it will have a minimal effect. If it … Read more

Overfitting is a situation that occurs in statistical modeling or Machine Learning where the algorithm starts to over-analyze data, thereby receiving a lot of noise rather than useful information. This causes low bias but high variance, which is not a favorable outcome. Overfitting can be prevented by using the below-mentioned methods: Early stopping Ensemble models … Read more

There are many algorithms that are used for hyperparameter optimization, and following are the three main ones that are widely used: Bayesian optimization Grid search Random search In the realm of hyperparameter optimization, several algorithms are commonly used to efficiently search through the hyperparameter space and find optimal or near-optimal configurations. Some of the prominent … Read more

Face verification is used by a lot of popular firms these days. Facebook is famous for the usage of DeepFace for its face verification needs. There are four main things you must consider when understanding how face verification works: Input: Scanning an image or a group of images Process: Detection of facial features Feature comparison … Read more

Yes, logical inference can easily be solved in propositional logic by making use of three concepts: Logical equivalence Process satisfaction Validation checking Yes, it is possible to solve logical inference in propositional logic. Propositional logic deals with propositions, which are statements that are either true or false. Logical inference involves deducing new propositions from given … Read more