What is Deep Learning

Deep learning describes a form of machine learning and artificial intelligence that utilises neural networks to imitate the way a human brain would learn data using complex abstraction and hierarchy.

To achieve this hierarchy, the machine participating in deep learning must first begin to identify discrepancies within data – similarly to how a young child would learn the correct names of items, they must first learn the identifying features associated with the object they are attempting to name through trial and error. This adds to the data hierarchy until the child, or machine, is confident in identifying the patterns associated with said object. These layers of data are what differentiates deep learning from machine learning, as deep learning operates on layers of data whereas machine learning uses algorithms and user data to spot patterns.

Deep learning bridges the gap between machine learning and true artificial intelligence. To a certain extent machine learning requires supervision and user interaction to adapt its data accordingly, whereas deep learning can use its neural networks and decide for itself what response to give according to the data it is presented with. On the other hand, artificial intelligence requires a higher level of abstract reasoning, critical thinking, and problem-solving to be truly classified as ‘intelligent’ – something that isn’t required for deep learning, which develops responses based on the face value of the data it is presented with.

Deep Learning Today

The products of deep learning are all around us in text generation, self-driving cars, medical research, and even adding colour into old black and white photographs! Deep learning operates similarly to the human brain just at a much faster rate, making it an incredibly valuable resource for essential, but time-consuming, activities that could fall prey to human error.

Deep Learning in Cybersecurity

Coupled with machine learning and artificial intelligence, deep learning has revolutionised the cyber security sector. Deep learning allows security programmes to self-monitor and expand on their knowledge through use, meaning that the security protocols in place will advance alongside the threats they are defending against.