What is deep learning?
Deep learning is a branch of machine learning that deals with algorithms inspired by the structure and function of the brain. These algorithms are used to learn from data in a way that is similar to how humans learn.
By building models that simulate the workings of the brain, deep learning can be used to automatically recognize patterns, make predictions, and solve problems.
Why is it called deep learning?
The term "deep" refers to the number of hidden layers in the neural network. Deep learning networks have more hidden layers than shallow networks, and each layer is responsible for extracting higher-level features from the data.
The term "learning" in deep learning refers to the ability of the network to improve its performance on a task with experience (i.e., through training on a dataset).
Where is deep learning used?
Deep learning is used in many different fields, including:
- computer vision
- speech recognition
- natural language processing (NLP)
In computer vision, deep learning is used to identify objects in digital images and videos.
In speech recognition, deep learning is used to convert spoken words into text.
In natural language processing, deep learning is used to interpret and generate human language.
And in robotics, deep learning is used to control robotic devices such as self-driving cars and drones.