Deep learning is a branch of machine learning that aims to solve complex problems by mimicking the structure and function of neural networks in the human brain. Deep learning relies on deep neural networks, a model consisting of multiple layers of neurons, each of which extracts and transforms features on the input data to gradually form an abstract representation of the problem. The key to deep learning is to train a deep neural network through a large amount of data and parameter optimization, so that it can automatically learn and extract features in the data, so as to achieve highly accurate prediction and decision-making.
The relationship to machine learning and artificial intelligence is this: Machine learning is a broader concept that encompasses a variety of algorithms and techniques designed to enable computer systems to learn from experience and improve performance. Deep learning is a specific branch of machine learning that focuses on learning and decision making using deep neural networks. Therefore, deep learning can be seen as a method or technique of machine learning.
Artificial intelligence is a broader concept that refers to the field that enables computer systems to simulate human intelligence and perform intelligent tasks similar to humans. Deep learning plays an important role in the field of artificial intelligence because it has the ability to process large-scale data and complex tasks, and can realize artificial intelligence tasks in speech recognition, image classification, and natural language processing.
In short, deep learning is an important branch of machine learning that utilizes deep neural networks for learning and decision-making, and machine learning is the broad field of enabling computer systems to learn and improve performance from experience. Deep learning plays an important role in the realization of artificial intelligence because it can handle large-scale data and complex tasks to achieve human-like intelligent tasks.
