What is a Neural Network?
Neural networks, a type of machine learning algorithm inspired by the functioning of the human brain, are made up of a series of interconnected nodes, each of which represents a neural network. Nodes are connected to each other by links, which represent synaptic connections between biological neurons.
They are used in a wide range of applications, including computer vision, speech recognition, machine translation, fraud detection, and natural language processing.
How they our lives today whit Neural networks
They are already having a significant impact on our lives. For example, they are used in:
- Smart security cameras that can detect people, vehicles and other objects.
- Virtual assistants like Siri, Alexa and Google Assistant that can understand our commands and answer our questions.
- Automatic translators that can translate text from one language to another.
- Fraud detection systems that can identify suspicious transactions.
How will they affect us in 5 or 10 years?
Are expected to have an even greater impact on our lives in the coming years. For example, they could be used to:
- Develop autonomous cars that can drive themselves.
- Personalize medical treatment for each patient.
- Create new products and services that meet our needs.
how they affected Neural networks before
Began to be developed in the 1950s, but it was not until the 1980s that they began to be used in practical applications. In recent years, the development has accelerated thanks to the increase in computing power and access to large amounts of data.
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