Meaning of Deep Learning

Simple definition

Deep Learning is a subset of machine learning that involves networks of artificial neurons, known as neural networks, capable of learning from complex data such as images, text, and audio.

How to use Deep Learning in a professional context

In healthcare, deep learning is used for medical imaging, diagnostics, and drug discovery, providing more accurate results and insights.

Concrete example of Deep Learning

Deep learning is used in image recognition systems, such as identifying objects in pictures or recognizing handwriting.

What is the difference between deep learning and traditional ML?

Deep learning uses neural networks with multiple layers to automatically learn hierarchical representations of data, while traditional ML typically involves manually designing features.

What are common applications of deep learning?

Deep learning is widely used in computer vision, natural language processing, and speech recognition.

What types of data can deep learning handle?

Deep learning can handle unstructured data like images, text, audio, and video.
Related Blog articles
Tokyo Founders Night: what it takes to build a startup today

Tokyo Founders Night: what it takes to build a startup today

On a rainy evening in Tokyo, founders, aspiring entrepreneurs and students came to the Google...

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

After years spent producing music, Matt realized the industry's royalty systems were broken and decided...

Alexandre, bridging the technical gap at Revolut

Alexandre, bridging the technical gap at Revolut

Alexandre works in sales at Revolut. When clients ask technical questions, he doesn't need to...

    Suscribe to our newsletter

    Receive a monthly newsletter with personalized tech tips.