Gradients

2 items

ARTICLEDEV.to AI·4/11/2026

How Neural Networks Actually Learn: Backpropagation, Gradients, and Training Loop (Developer Guide)

This article details the learning process of neural networks through optimization, covering the training loop from forward propagation to weight updates. It explains the significance of backpropagation and loss functions in computing gradients and adjusting model parameters.

neural networks loss functions Training backpropagation

ARTICLEWeights & Biases·11/8/2019

Tracking the heartbeat of ML models by exploring gradients

This content explores methods for monitoring the behavior of Machine Learning models by analyzing gradients. It details how to track the "heartbeat" of these models to ensure their performance and stability.

Model Monitoring machine learning Gradients AI development