Deep Learning Fundamentals

The Core Idea

Deep learning relies on representing data across layered feature spaces.

These layers allow the system to learn increasingly complex patterns from raw input.

Neural Networks – The Building Blocks

At its heart, deep learning uses artificial neural networks, inspired by the structure of the human brain.

These networks consist of interconnected nodes organized in layers that process information and learn from data.

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Training the Network

The network learns through a process called training, where it’s fed with labeled examples.

It adjusts its internal parameters – known as weights – to minimize the difference between its predictions and the actual labels.

Frequently asked questions

What is deep learning?

Deep learning is a family of machine learning methods that use multi-layer neural networks.

What are neural networks?

Neural networks are computational models inspired by the structure and function of biological neurons. They consist of interconnected nodes arranged in layers.

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