deep learning
The principles, methods and algorithms of deep learning, a subfield of artificial intelligence and machine learning. Common neural networks like perceptrons, feed-forward, backpropagation, and convolutional and recurrent neural networks.
deep learning — the principles, methods and algorithms of deep learning, a subfield of artificial intelligence and machine learning. Common neural networks like perceptrons, feed-forward, backpropagation, and convolutional and recurrent neural networks. ESCO classifies it as a cross-sector (useful across many industries) skill within knowledge.
Occupations that require deep learning
Showing top 0 of 0 occupations · ranked by India employment volume, then AI-durability.
No occupations in our catalogue currently list this skill.
Frequently asked questions
What is deep learning?
The principles, methods and algorithms of deep learning, a subfield of artificial intelligence and machine learning. Common neural networks like perceptrons, feed-forward, backpropagation, and convolutional and recurrent neural networks.
What category of skill is deep learning?
ESCO classifies deep learning under the knowledge category, specifically in the information and communication technologies not elsewhere classified subcategory.
Is deep learning one of the Technical AI skills?
Yes — deep learning is on McKinsey's Technical AI shortlist, the set of specialised skills relevant to building, tuning, and deploying AI systems rather than just using them.
How transferable is deep learning between industries?
ESCO tags deep learning as a cross-sector (useful across many industries) skill — a signal of how portable it is when you change field.
Is deep learning the same as deep neural networking?
Yes — deep learning is also known as deep neural networking, deep learning methods, or deep learning principles. They refer to the same underlying capability in the ESCO taxonomy.
How can I learn deep learning?
The most reliable path is to pick a job or project that demands deep learning and learn through delivery. Complement that with role-specific roadmaps and short courses. Explore the occupations below to see where this skill is used in practice.