Archives for Classification Loss Function

11 Sep

A Beginners’ Guide to Cross-Entropy in Machine Learning

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Vijaysinh Lendave Classification Loss Function

Machine learning and deep learning models are normally used to solve regression and classification problems. In a supervised learning problem, during the training process, the model learns how to map the input to the realistic probability output.

06 Nov

Loss Functions in Deep Learning: An Overview

Ankit Das Classification Loss Function

Neural Network uses optimising strategies like stochastic gradient descent to minimize the error in the algorithm. The way we actually compute this error is by using a Loss Function. It is used to quantify how good or bad the model is performing. These are divided into two categories i.e.Regression loss and Classification Loss.

The post Loss Functions in Deep Learning: An Overview appeared first on Analytics India Magazine.

06 Nov

Loss Functions in Deep Learning: An Overview

Ankit Das Classification Loss Function

The post Loss Functions in Deep Learning: An Overview appeared first on Analytics India Magazine.