🎉 Welcome to the Neural Networks Tutorial!

What is a Neural Network?

A neural network is a computational model inspired by the human brain. It consists of layers of interconnected nodes (neurons) that process information. 🧠

Key Components

  • Input Layer: Receives data 📁
  • Hidden Layers: Processes data through weighted connections ⚙️
  • Output Layer: Produces the final result 📈
  • Activation Functions: Introduce non-linearity to the model 📊

How It Works

  1. Data flows through the network in a forward pass 🚶‍♂️
  2. Weights are adjusted using backpropagation 🔄
  3. Optimization algorithms like SGD improve accuracy 📈

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Applications

  • Image recognition 📸
  • Natural Language Processing 💬
  • Predictive analytics 📊
  • Autonomous systems 🤖

For a deeper dive into machine learning concepts, check out our Machine Learning Basics guide! 📘

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Resources

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