Deep Learning
Definition
A subset of machine learning that uses multi-layered neural networks to learn hierarchical representations of data, enabling breakthroughs in vision, language, and more.
Deep Learning revolutionized AI by enabling systems to automatically learn features from raw data through multiple layers of abstraction. A deep neural network might learn edges in its first layer, shapes in the second, and objects in deeper layers. This approach eliminated the need for manual feature engineering that limited earlier ML methods. Key architectures include convolutional neural networks (CNNs) for images, recurrent neural networks (RNNs) for sequences, and transformers for language. Deep learning requires large datasets and significant compute power, typically GPUs or TPUs, but has achieved superhuman performance on many benchmarks.
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