🧠 Machine Learning Cheat Sheet: Neural Networks & Deep Learning
Neural Networks are the foundation of modern AI. They learn patterns from data using interconnected neurons, much like the human brain.
📌 Key Concepts
🔹 Input Layer → Receives data
🔹 Hidden Layers → Learn features and patterns
🔹 Output Layer → Generates predictions
⚡️ Popular Activation Functions
• Sigmoid
• Tanh
• ReLU
🔄 Training Process
✅ Forward Propagation → Makes predictions
✅ Backpropagation → Corrects errors and updates weights
✅ Loss Functions → Measure prediction accuracy
🏗 Popular Architectures
• CNN → Image Recognition
• RNN → Time Series & Sequential Data
• DNN/ANN → General-purpose AI tasks
🚀 Applications
📷 Computer Vision
🎙 Speech Recognition
💬 NLP & Chatbots
🎯 Recommendation Systems
🚗 Autonomous Vehicles
💡 Key Takeaway: Deep Learning is simply Neural Networks with multiple hidden layers, enabling AI systems to solve complex real-world problems.
June 11, 2026 519 3
