Deep Learning is a type of machine learning that uses artificial neural networks with multiple layers (hence "deep") to recognize complex patterns in data (images, text, audio). It attempts to mimic the behavior of the human brain to process data and create patterns for use in decision making.
Deep Learning powers advancements in Generative AI and Computer Vision. It solves problems that traditional algorithms fail at, but at a high cost of compute and energy. It requires specialized hardware (GPUs/TPUs) and large datasets.
Deep Learning is a powerful tool, but not every problem requires it. We are mindful of "Green AI" principles—balancing model accuracy with inference cost and energy consumption. We choose the simplest model that solves the problem effectively.