Categories: AI/ML Research

5 Useful Loss Functions

A loss function in machine learning is a mathematical formula that calculates the difference between the predicted output and the actual output of the model. The loss function is then used to slightly change the model weights and then check whether it has improved the model’s performance. The goal of machine learning algorithms is to […]

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Loss Functions in PyTorch Models

The loss metric is very important for neural networks. As all machine learning models are one optimization problem or another, the loss is the objective function to minimize. In neural networks, the optimization is done with gradient descent and backpropagation. But what are loss functions, and how are they affecting…

February 17, 2023

In "AI/ML Research"

Enhancing Backpropagation via Local Loss Optimization

August 31, 2022

Loss Functions Explained: Understand the Maths in Just 2 Minutes Each

I must say, with the ongoing hype around machine learning, a lot of people jump straight to the application side without really understanding how things work behind the scenes.

June 7, 2025

In "AI/ML Research"

AI Generated Robotic Content