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A History of Deep Learning Import.io

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These days, you hear a lot about machine learning (or ML) and artificial intelligence (or AI) – both good or bad depending on your source. Many of us immediately conjure up images of HAL from 2001: A Space Odyssey, the Terminator cyborgs, C-3PO, Data from Star Trek, or Samantha from Her when the subject turns to AI. And many may not even be familiar with machine learning as a separate subject. The phrases are often tossed around interchangeably, but they're not exactly the same thing. In the most general sense, machine learning has evolved from AI. In the Google Trends graph above, you can see that AI was the more popular search term until machine learning passed it for good around September 2015.


A History of Deep Learning - Import.io

#artificialintelligence

These days, you hear a lot about machine learning (or ML) and artificial intelligence (or AI) – both good or bad depending on your source. Many of us immediately conjure up images of HAL from 2001: A Space Odyssey, the Terminator cyborgs, C-3PO, or Samantha from Her when the subject turns to AI. And many may not even be familiar with machine learning as a separate subject. The phrases are often tossed around interchangeably, but they're not exactly the same thing. In the most general sense, machine learning has evolved from AI. In the Google Trends graph above, you can see that AI was the more popular search term until machine learning passed it for good around September 2015.


Brief History of Deep Learning from 1943-2019 [Timeline] MLK - Machine Learning Knowledge

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The world right now is seeing a global AI revolution across all industry. And one of the driving factor of this AI revolution is Deep Learning. Thanks to giants like Google and Facebook, Deep Learning now has become a popular term and people might think that it is a recent discovery. But you might be surprise to know that history of deep learning dates back to 1940s. Indeed, deep learning has not appeared overnight, rather it has evolved slowly and gradually over seven decades.


Deep Learning Introduction – Witan World

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Deep learning also known as deep structured learning or hierarchical learning is part of machine learning based on artificial neural networks. This learning methodology can be supervised, semi-supervised or unsupervised. Deep learning architectures such as neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation where they have produced results comparable to and in some cases superior to human experts. They used a combination of algorithms and mathematics they called "threshold logic" to mimic the thought process. Since that time, Deep Learning has evolved steadily, with only two significant breaks in its development.


A Brief History of Deep Learning - DATAVERSITY

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Deep Learning, as a branch of Machine Learning, employs algorithms to process data and imitate the thinking process, or to develop abstractions. Deep Learning (DL) uses layers of algorithms to process data, understand human speech, and visually recognize objects. Information is passed through each layer, with the output of the previous layer providing input for the next layer. The first layer in a network is called the input layer, while the last is called an output layer. All the layers between the two are referred to as hidden layers.