LogisticRegression.md

7️⃣ Cross Entropy Loss: Teaching AI to Learn Better 🎯

• AI makes mistakes, so we measure how bad they are using a loss function.
• Cross Entropy Loss helps AI learn from its mistakes and get better.
• Instead of guessing randomly, the AI adjusts itself to improve its answers.

8️⃣ Backpropagation: AI Fixing Its Own Mistakes 🔄

• AI learns by guessing, checking, and fixing mistakes.
• It uses backpropagation to update itself, just like learning from practice.
• This helps AI get smarter every time it trains.

9️⃣ Multi-Class Neural Networks: Picking the Best Answer 🎨

• AI doesn’t always choose between just two things; sometimes, it picks from many choices!
• It uses Softmax to figure out which answer is most likely.
• This helps in image recognition, language processing, and more!

🔟 Activation Functions: Helping AI Think Faster ⚡

• AI uses activation functions to decide which patterns matter.
• Three important ones:
  • Sigmoid → Helps with probabilities.
  • Tanh → Balances data better.
  • ReLU → Fastest and most useful!
• These make AI learn faster and make better decisions!