Think you understand neural networks? Prove it.
What You Get
7 comprehensive quizzes covering neural network fundamentals from Issues #34-40 of Infolia:
✅ Forward Propagation - How data flows through networks
✅ Loss Functions - How networks measure error
✅ Backward Propagation - How networks learn
✅ Gradient Descent - The optimization algorithm
✅ Learning Rate & Hyperparameters - Fine-tuning training
✅ Regularization - Preventing overfitting
✅ The Complete Learning Loop - Putting it all together
Why Take These Quizzes?
Reading about AI ≠ understanding AI.
These quizzes reveal the gaps between "I've read about backpropagation" and "I actually understand how it works."
- Instant feedback on every answer
- Clear explanations when you get something wrong
- Progressive difficulty from intermediate to expert
- Built for developers - no PhD required
Who This Is For
✅ Software engineers learning AI fundamentals
✅ Developers who want to understand what's under the hood
✅ Anyone who's read AI tutorials but wants to verify they actually get it
Enter your email below to unlock all 7 quizzes.
Based on Issues #34-40 of Infolia, the AI newsletter for software engineers. Subscribe to get weekly tutorials and AI news built for developers.
🎉 You're In! Your Quizzes Are Ready
Start with Quiz #1 or jump to any topic:
Quiz #1: Forward Propagation ⭐⭐
Quiz #2: Loss Functions & Optimization ⭐⭐
Quiz #3: Backward Propagation ⭐⭐⭐
Quiz #4: Gradient Descent ⭐⭐
Quiz #5: Learning Rate & Hyperparameters ⭐⭐⭐
Quiz #6: Regularization & Generalization ⭐⭐⭐
Quiz #7: The Complete Learning Loop ⭐⭐⭐⭐
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