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Machine learning refers to a type of Artificial Intelligence (AI) that allows computers to learn beyond their initial static programming. These new programs are developed to analyze patterns in past data sets in order to adapt. More advanced computer programs are even capable of altering their code in response to prior exposure to an unfamiliar set of inputs, which opens a whole set of possibilities for the future of AI.
Some of the recent applications of machine learning include Google’s self-driving car and the algorithm behind the success of its web search function, companies providing online recommendation offers based on user’s’ browsing history, and fraud detection.
Deep learning is a branch of machine learning that focuses on the neural network model inspired by our understanding of the biology of the human brain. The human brain contains billions of neurons that are capable of sending signals and connecting to each other within a certain physical distance. Programmers incorporated that structure by creating artificial neural networks that have discrete layers, connections, and directions in which the data propagates.
How Does Deep Learning Work?
Deep learning enables computer programs to process a lot of input data simultaneously, and use it to make decisions based on the …
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