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**!  
