Deep Learning Techniques

Deep learning techniques use multilayer neural networks to automatically learn features from large datasets. Key techniques include convolutional neural networks for image processing, recurrent and LSTM networks for sequence data, transformers for attention-based learning, and autoencoders for representation learning. These methods power applications such as vision, speech recognition, natural language processing, and autonomous systems.