Deep Learning
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers (deep architectures) to model and learn complex patterns from large datasets. It enables automatic feature extraction and hierarchical representation learning, powering breakthroughs in areas like computer vision, natural language processing, and speech recognition. Key architectures include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
Developers should learn deep learning when working on tasks involving unstructured data (images, text, audio) or complex pattern recognition that traditional machine learning struggles with. It's essential for building state-of-the-art AI applications like autonomous vehicles, medical image analysis, recommendation systems, and generative AI models. Deep learning excels in scenarios with abundant labeled data and computational resources for training deep neural networks.