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Deep Learning
Neural networks with many layers that learn hierarchical representations.
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Key Deep Learning concepts
The neural network architecture that revolutionised AI by enabling models to process entire sequences at once.
accelerator chipA specialized computer chip designed to accelerate specific tasks, such as artificial intelligence or machine learning
activation functionA mathematical function that introduces non-linearity into a neural network model
AdaGradAn optimization algorithm used in machine learning to adapt the learning rate for each parameter
AttentionA mechanism that lets a model focus on the most relevant parts of its input when producing an output, weighting what matters most in context.
auto-regressive modelA type of machine learning model that predicts future values based on past values
autoencoderA type of artificial neural network that learns to compress and reconstruct data
auxiliary lossAn additional loss function used to train a machine learning model