DL Basics EP5 : MODULE 5 : Loss Functions | Explained in Tamil | | Deep Learning Full Course |
Автор: Learn With Mahalakshmi
Загружено: 2026-01-08
Просмотров: 24
Welcome to Learn With Mahalakshmi👨💻✨
Icon By Smashicons from Flaticon
Icon By Paul J. from Flaticon
Icon By Freepik from Flaticon
Icon By Reddie from Flaticon
Icon By pojok d from Flaticon
Icon By justicon from Flaticon
Indha video-la Deep Learning-oda romba important concept-aana
Loss Functions-a simple-aa clear-aa explain pannirukken.
Idhu Deep Learning Series-oda Module 5.
Indha video paathaa neenga purinjukalaam:
✔ Loss/Error na enna?
✔ Model-ku loss edhuku thevai?
✔ Regression loss functions (MSE, MAE)
✔ Classification loss functions (Log Loss, Cross Entropy)
✔ Loss vs Accuracy confusion clear explanation
✔ Real-life example: Expected marks vs Actual marks
✔ Simple formula explanation
✔ Tools
Loss functions deep learning-la model-ku
*“naan epdi perform panren?”* nu solludhu.
Idhu illa na model improve aagathu.
Indha series beginners-kum interview preparation-kum super useful 👍
Next modules-la Gradient Descent detail-aa paapom.
👍 Video useful-aa irundhaa Like pannunga
💬 Doubts irundhaa comments-la kelunga
🔔 Subscribe panninaa next modules miss aagathu
📌 Don’t forget to Subscribe & turn on 🔔 notifications for more tutorials.
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: