A brief introduction to deep learning
Deep learning is a subfield of machine learning that focuses on artificial neural networks with multiple layers (deep models typically have three or more layers, including input, output, and hidden layers). These models have demonstrated remarkable capabilities in various applications, including image and speech recognition, natural language processing, and autonomous driving.
The prevalence of “big data” (large volumes of structured or unstructured data, often challenging to manage with traditional data processing software) problems greatly benefited from the development of Graphical Processing Units (GPUs), which were initially designed for graphics processing.
In this section, we will provide a concise introduction to the foundational elements of deep learning, discussing only what is necessary for the problems associated with data imbalance in deep learning. For a more in-depth introduction, we recommend referring to a more...
