---
title: "Optimizing Model Training: Strategies and Challenges in AI"
url: https://daily.dev/posts/optimizing-model-training-strategies-and-challenges-in-ai-i4zm5ahba
source_url: https://www.datasciencecentral.com/optimizing-model-training-strategies-and-challenges-in-artificial-intelligence/
type: article
source: "Data Science Central"
published: 2024-04-26T17:50:59.337Z
updated: 2024-05-09T09:30:38.138Z
tags: ["machine-learning", "deep-learning", "neural-networks", "gradient-descent"]
reading_time: 4
upvotes: 2
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Optimizing Model Training: Strategies and Challenges in AI

**[Data Science Central](https://daily.dev/sources/ds_central)** · 4 min read · 2 upvotes · 0 comments

## Summary

This post explains the concept of backpropagation in neural networks and its significance in machine learning. It discusses the time complexity of backpropagation algorithms and the types of gradient descent. Additionally, it provides information on the backpropagation algorithm in machine learning and the pseudocode used to implement it.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.datasciencecentral.com/optimizing-model-training-strategies-and-challenges-in-artificial-intelligence/>

## Similar posts on daily.dev

- [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments
- [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments
- [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#gradient-descent](https://daily.dev/tags/gradient-descent)

[View this post on daily.dev](https://daily.dev/posts/optimizing-model-training-strategies-and-challenges-in-ai-i4zm5ahba)