Neural Networks are a series of algorithms that mimic the human brain’s operations to recognise patterns and solve problems. They consist of layers of interconnected nodes (neurons) that process input data and adjust weights through training to improve accuracy and performance. Key components of neural networks include:
- Input Layer: Receives the initial data for processing.
- Hidden Layers: Intermediate layers where data transformation and feature extraction occur.
- Output Layer: Produces the final output or prediction.
Neural Networks are used in various applications, such as image and speech recognition, natural language processing, and game playing. Advanced neural networks, like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), are specialised for tasks like image classification and sequence prediction.
