Meaning of Neural Networks

Simple definition

Neural Networks are computational models inspired by the human brain that are designed to recognize patterns by processing data through layers of interconnected nodes, or “neurons.”

How to use Neural Networks in a professional context

Neural networks are used for tasks like image and speech recognition, natural language processing, and prediction.

Concrete example of Neural Networks

A neural network might be trained to recognize handwriting by processing images of handwritten letters through multiple layers of nodes.

How do neural networks learn?

Neural networks learn by adjusting weights in the network through training with labeled data.

Are neural networks the same as deep learning?

Deep learning refers to a subset of neural networks with many layers, allowing more complex learning.

What are neural networks used for?

They are used in a wide range of applications, including speech recognition, image recognition, and self-driving cars.
Related Blog articles
Stephan: From bootcamp student to campus director

Stephan: From bootcamp student to campus director

Stephan joined Le Wagon four years ago to build a tennis fantasy sports startup, found...

Arthur: An energy engineer pivots to data science

Arthur: An energy engineer pivots to data science

Rather than switching industries entirely, Arthur used Le Wagon's intensive Data Science bootcamp to add...

Antonin: A product leader goes data-driven

Antonin: A product leader goes data-driven

With two decades in product strategy and design, Antonin joined Le Wagon's Data Analytics bootcamp...

      Suscribe to our newsletter

      Receive a monthly newsletter with personalized tech tips.