{"id":3427,"date":"2025-10-05T00:00:00","date_gmt":"2025-10-04T22:00:00","guid":{"rendered":"https:\/\/tecnologia.euroinnova.com\/deep-learning\/"},"modified":"2025-10-07T14:58:19","modified_gmt":"2025-10-07T12:58:19","slug":"deep-learning","status":"publish","type":"post","link":"https:\/\/tecnologia.euroinnova.com\/en\/deep-learning","title":{"rendered":"Deep learning"},"content":{"rendered":"

Deep learning is a machine learning technique whereby computers are taught to perform tasks in the same way as the human mind<\/strong>. It involves teaching machines knowledge through experience; in other words, learning from examples. <\/p>\n

For example, Deep learning is an indispensable technology for autonomous vehicles<\/strong>, as it enables them to recognise a road sign or distinguish between a pedestrian and a street lamp. In short, the aim is to achieve results based on knowledge that the machine did not previously possess.<\/p>\n

Through the deep learning<\/strong>, a computational model performs classification tasks based on images, text or sound, achieving a level of accuracy that is virtually unprecedented and often surpasses human capabilities.<\/p>\n

In order to train a machine using deep learning, a huge amount of labelled data is required<\/strong> and validated, as well as a GPU with excellent processing power to minimise the machine\u2019s training time as much as possible.<\/p>\n

How does deep learning work?<\/h2>\n

Computer programmes that use deep learning learn in the same way as a baby<\/strong>, for example, learns to recognise a dog. The algorithms in the hierarchy apply a non-linear transformation to the information they receive and use part of what they have learnt to create a statistical model as a response.<\/p>\n

So, all you have to do is feed the programme plenty of inputs until it achieves a level of flawless accuracy. The process of providing a programme or machine with plenty of inputs is called \u201citeration\u201d, and it is precisely this repetition that leads us to call this discipline \u201cdeep\u201d.<\/p>\n

The only limitation of the deep learning<\/strong> The fact is that it cannot really come up with anything on its own, but relies entirely on the data and its accuracy. Therefore, the outputs produced by a machine using deep learning will be accurate to the extent that the inputs are correct and objective. In turn, the outputs or predictions provided by a machine are limited to the inputs it has received and do not go beyond them.<\/p>\n

What is the difference between deep learning and machine learning?<\/h2>\n

In the machine learning <\/strong>Traditionally, the programmer providing the inputs has to be extremely specific and practically guide the programme step by step so that it can, for example, identify an object such as a dog in an image.<\/p>\n

For its part, in deep learning, the programme is presented with a vast amount of unlabelled and unstructured data<\/strong> which, through thousands of iterations, will process the data in a matter of minutes in order to identify and distinguish images featuring a dog. <\/p>\n

Thanks to a number of technological innovations such as the big data<\/a> or the cloud computing<\/a>, we can collect enough data to generate the large volume of inputs required for deep learning.<\/p>\n

So, the deep learning<\/strong> and the machine learning<\/a> They differ in that deep learning requires far more resources than machine learning, but it is more rigorous and faster, and does not require constant supervision by programmers.<\/p>\n

Examples of deep learning<\/h2>\n
    \n
  • Customer service:<\/strong> On websites, chatbots are being trained using queries and responses to improve the quality and speed of customer service.<\/li>\n
  • Text generation:<\/strong> Machines and programmes are learning how to mimic the grammar, vocabulary and style of a text in order to reproduce it in a completely original text.<\/li>\n
  • Military dominance:<\/strong> Deep learning is being used to identify safe and unsafe areas.<\/li>\n
  • Design:<\/strong> With deep learning, black-and-white photos can be colourised, something that used to involve a great deal of hard work.<\/li>\n
  • Medicine:<\/strong> In oncology, deep learning is being used to distinguish between cancerous and non-cancerous cells.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"

    El deep learning o aprendizaje profundo es una t\u00e9cnica de aprendizaje autom\u00e1tico mediante el cual se le instruye a los […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[25],"tags":[],"class_list":["post-3427","post","type-post","status-publish","format-standard","hentry","category-metaterminos"],"acf":[],"_links":{"self":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts\/3427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/comments?post=3427"}],"version-history":[{"count":0,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts\/3427\/revisions"}],"wp:attachment":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/media?parent=3427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/categories?post=3427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/tags?post=3427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}