Also known as deep learning, it is a branch of machine learning that uses artificial neural networks to perform complex data processing tasks. Unlike traditional machine learning models, which usually have one or two hidden layers, deep neural networks can have multiple layers, allowing them to learn hierarchical representations of information. This makes it particularly effective in areas such as image recognition, natural language processing, and speech recognition.
This approach enables deep learning models to automatically learn and extract features from raw data, making them especially effective for tasks like image recognition, natural language processing, and speech recognition. By leveraging large amounts of data and high computational power, this models can achieve cutting-edge performance in various applications, from autonomous driving to medical image analysis.
