all AI news
Freezing Layers of Your Deep Learning Model — the proper way of doing it
July 8, 2023, 12:02 p.m. | Alexey Kravets
Towards AI - Medium pub.towardsai.net
Freezing Layers of a Deep Learning Model — the proper way
ADAM optimizer example in PyTorch
Introduction
It is often useful to freeze some of the parameters for example when you are fine-tuning your model and want to freeze some layers depending on the example you process like illustrated
As we can see for the first example we are freezing the first two layers, and updating the parameters of the …
artificial intelligence deep learning gradient-descent machine learning optimization
More from pub.towardsai.net / Towards AI - Medium
Fueling (literally) the AI Boom
2 days, 11 hours ago |
pub.towardsai.net
Build Your First AI Agent in 5 Easy Steps (100% local)
2 days, 13 hours ago |
pub.towardsai.net
Learn AI Together — Towards AI Community Newsletter #26
3 days, 12 hours ago |
pub.towardsai.net
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV