Top 15 Deep Learning Applications In 2020 | Deep Learning - Robots.net

Machine learning applications have gained popularity over the years and now, incorporated with advanced algorithms has been introduced, deep learning applications, as Robots.net reports. 

Photo: Gerd Altmann on Pixabay

It may have evolved quickly but deep learning applications have been getting more attention compared to other machine learning applications. But what sets it apart from a machine learning application?

What Is Deep Learning? 
Deep learning is an artificial intelligence that mimics the workings of a human brain in processing different data, creating patterns and interpreting information that is used for decision making. It is a subfield of machine learning in artificial intelligence. Its networks has the capability to learn, supervised or unsupervised, from data that is either structured or labelled...

Types Of Deep Learning

There are two types of deep learning, supervised and unsupervised. Supervised learning is when you give an AI a set of input and tell it the expected results. Basically, if the output generated is wrong, it will readjust its calculation and will be done repeatedly over the data set until it makes no more mistakes. Unsupervised learning is the process of machine learning using data sets with no structure specified.

Applications of deep learning have been applied to several fields including speech recognition, social network filtering, audio recognition, natural language processing, machine translation, bioinformatics, computer design, computer vision, drug design, medical image analysis, board games programs and material inspection where they need to produce results that are comparable to or superior to human experts.

Let’s go over more details on applications of deep learning and what can deep learning do.

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Source: Robots.net