DL Basics EP5 : MODULE 5 : Loss Functions | Explained in Tamil | | Deep Learning Full Course |

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.