![[The AI Show Episode 146]: Rise of “AI-First” Companies, AI Job Disruption, GPT-4o Update Gets Rolled Back, How Big Consulting Firms Use AI, and Meta AI App](https://www.marketingaiinstitute.com/hubfs/ep%20146%20cover.png)
![How to make Developer Friends When You Don't Live in Silicon Valley, with Iraqi Engineer Code;Life [Podcast #172]](https://cdn.hashnode.com/res/hashnode/image/upload/v1747360508340/f07040cd-3eeb-443c-b4fb-370f6a4a14da.png?#)
-(1).jpg?width=1920&height=1920&fit=bounds&quality=70&format=jpg&auto=webp#)
.jpg?#)
![Apple's iPhone Shift to India Accelerates With $1.5 Billion Foxconn Investment [Report]](https://www.iclarified.com/images/news/97357/97357/97357-640.jpg)
![Apple Releases iPadOS 17.7.8 for Older Devices [Download]](https://www.iclarified.com/images/news/97358/97358/97358-640.jpg)
![[Updated With Statement] Verizon’s Motorola Razr 2025 Rollout Is on Hold](https://www.talkandroid.com/wp-content/uploads/2025/04/razr-colorways-2000x1331-1.png)
A Gentle Introduction to Learning Rate Schedulers
Ever wondered why your neural network seems to get stuck during training, or why it starts strong but fails to reach its full potential? The culprit might be your learning rate – arguably one of the most important hyperparameters in machine learning.
Ever wondered why your neural network seems to get stuck during training, or why it starts strong but fails to reach its full potential? The culprit might be your learning rate – arguably one of the most important hyperparameters in machine learning.
