Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example . Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost.
Read moreWhat is deep learning examples?
Deep learning utilizes both structured and unstructured data for training. Practical examples of deep learning are Virtual assistants, vision for driverless cars, money laundering, face recognition and many more .
Read moreWhy deep learning is introduced?
The deep learning model maps the input and the output to find a correlation between them. This correlation can be then used to cluster, predict, classify, and even generate new samples of data. One needs to train a deep learning model to make it learn and produce accurate results .
Read moreWhat is the history of machine learning?
History and relationships to other fields. The term machine learning was coined in 1959 by Arthur Samuel , an American IBMer and pioneer in the field of computer gaming and artificial intelligence. Also the synonym self-teaching computers was used in this time period.
Read moreWhat started deep learning?
The history of deep learning can be traced back to 1943, when Walter Pitts and Warren McCulloch created a computer model based on the neural networks of the human brain . They used a combination of algorithms and mathematics they called “threshold logic” to mimic the thought process.4 Şub 2022
Read moreWho is called as the God Father of deep learning?
Artificial intelligence’s growing importance, in both business and research, is largely because of Yoshua Bengio, Geoffrey Hinton, and Yann LeCun —otherwise known as the “godfathers of deep learning.”
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