What is Deep Learning? Cybiant Knowledge Centre Cybiant

In the previous article, 'What is Machine Learning?" Deep learning has advanced side-by-side with the digital era, which has led to a massive increase of data in all types. This data, also known as big data, is generated from sources like social media, internet search engines, e-commerce websites, among others. However, this data is normally generated as unstructured and because of the sheer quantity of it, it could take many years to sort and analyse all of it. This is where Deep learning and machine learning come into play. Deep Learning is part of a broader family of machine learning methods based on artificial neural networks. Much like machine learning, deep learning can be supervised, semi-supervised, and unsupervised. Deep learning architectures such as deep belief networks, recurrent neural networks, deep neural networks and convolutional neural networks have been applied to various fields like social network filtering, computer vision, natural language processing, and medical image analysis just to name a few. Machine learning is the most common technique in artificial intelligence. From what we explained in the previous article, machine learning is a self-adaptive algorithm that is continually improved through continual analysis of patterns and new information. Deep learning is a subset of machine learning. Let's delve deeper into the definition of Deep Learning and gain a better understanding of why it has become a subset of machine learning. Artificial intelligence is a set of algorithms and intelligence to try to mimic human intelligence. Machine learning is one of them, and deep learning is one of those machine learning techniques."