Glossary Core Concepts 1 min read

Deep Learning

Also known as: DL, Deep Neural Networks

A subset of machine learning based on artificial neural networks with multiple layers (deep architectures) that can learn hierarchical representations of data for complex pattern recognition.

Neural networks, deep neural networks, DNN, backpropagation, gradient descent, convolutional neural network, CNN, recurrent neural network, RNN, LSTM, GAN, autoencoder, representation learning, feature extraction, hidden layers

Sources & References

1
Deep Learning (MIT Press Book)

MIT Press / Ian Goodfellow et al.

2
Deep Learning - IBM

IBM

3
Neural Networks and Deep Learning

Michael Nielsen

Related Terms

Artificial Intelligence (AI)

The simulation of human intelligence processes by computer systems, including learning, reasoning, self-correction, and the ability to perform tasks that typically require human cognition.

Machine Learning

A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed, using algorithms that identify patterns in data.

Neural Network

A computing system inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information using learnable weights and activation functions.

Transformer

A neural network architecture based on self-attention mechanisms that processes input sequences in parallel, forming the foundation of virtually all modern large language models.
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