Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in data. It has revolutionized fields like computer vision, natural language processing, and speech recognition. Here's a quick overview:
Key Concepts
- Neural Networks: Composed of layers (input, hidden, output) of interconnected nodes 🧩Neural_Network_Structure
- Training Process: Involves feeding data through the network and adjusting weights using backpropagation 🔄
- Optimization Algorithms: Such as Stochastic Gradient Descent (SGD) or Adam 📈
- Loss Functions: Measure prediction error; common ones include Mean Squared Error (MSE) and Cross-Entropy 📊
Learning Resources
📖 Deep Learning Book by Ian Goodfellow
💻 Hands-on Tutorials for coding practice
📊 Interactive Visualizations to understand concepts