Deep learning is a subfield of machine learning that uses artificial neural networks with multiple layers to analyze data and make predictions. It's known for its ability to automatically extract features from data, making it particularly useful for tasks involving complex patterns, such as image and speech recognition, natural language processing, and more

Key characteristics :

• Artificial Neural Networks (ANNs) : Deep learning relies on ANNs, which are inspired by the structure and function of the human brain
• Multiple Layers : Deep learning models have multiple layers (input, hidden, and output) that process data in a hierarchical manner, allowing them to learn complex relationships and patterns
• Feature Extraction : Unlike traditional machine learning, deep learning can automatically extract relevant features from data, reducing the need for manual feature engineering
• Unstructured Data : Deep learning excels at processing unstructured data like images, text, and audio, which often require complex analysis

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