Artificial Neural Network (Neural Network) A Neural Network
Artificial Neural Network (Neural Network)
A Neural Network is a type of computer system used in Artificial Intelligence that is inspired by how the human brain works. It is made of many small processing units called neurons that work together to analyze data and find patterns. 🤖🧠
1️⃣ Neurons (Nodes)
A neural network is made of many neurons.
Each neuron receives information, processes it using mathematical calculations, and sends the result to the next neuron.
2️⃣ Layers
Neural networks are organized into layers:
• Input Layer – receives the data (image, text, sound, numbers).
• Hidden Layers – process the data and detect patterns.
• Output Layer – produces the final answer or prediction.
3️⃣ Weights and Connections
Every connection between neurons has a weight.
Weights decide how important a piece of information is.
During training, the system adjusts these weights to improve accuracy.
4️⃣ Learning Process
Neural networks learn using a method called Backpropagation.
The system compares its output with the correct answer and then adjusts the weights to reduce errors.
5️⃣ Deep Neural Networks
When a neural network has many hidden layers, it is called Deep Learning.
Deep learning powers technologies like:
• Voice assistants
• Self-driving cars
• Image recognition
• Language models like ChatGPT
Simple Example
If a neural network is trained with thousands of cat and dog images, it learns patterns like:
• ear shape
• fur texture
• eye structure
Then it can recognize whether a new image is a cat or dog.
✅ In simple words:
A neural network is a system that learns from data by adjusting connections between artificial neurons, similar to how the human brain learns from experience.
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