Top Interesting Facts Related to Deep Learning

deep learning AI

Deep Learning is the latest buzzword in the field of computer science and data science which deals with the complex algorithms and solves them by imitating the workings of the human brain for processing the data in a faster and more efficient manner.Let us see some facts related to it.

  • Deep Learning runs on the artificial neural network

Source – medium.com

ANN are the computer systems whose patterning is done after the human brains. There are interconnected neurons in the brains that transmit the signals to each other. Similarly, the ANN has the interconnected nodes called the neurons which transmit the data to each other. The neurons pass the information from one layer to another in the case of deep learning where the nodes are arranged in the form of layers.

  • Deep Learning Requires a huge amount of resources

 deep learning AI

Source – lexblogplatform.com

For deep learning, the systems with highly advanced graphics are required. A huge volume of data is required for training purpose. The big data generated by the tech-giants are perfect for deep learning as they can be used to perfectly train the models. The bigger the workload, the more amount of computing power required to solve the problem.

  • It is new in the field of technology

 deep learning AI

Source – medium.com

Since the year this technique is applied to a lot of different small and big problems, it has proven remarkable and has trained the computers to do a variety of tasks in an easy and fast manner. This has solved the problem for the humans and has made the life easy but the training of the machines to learn the tasks is going to be more difficult in the upcoming years. Some researchers believe that deep learning AI is going to be influential in the future but some of them think that its usefulness is going to be limited and it has to be supplemented with a lot of other techniques.

  • It is a part of Machine Learning and it can be supervised or unsupervised

 deep learning AI

Source – gitbooks.io

It is a specialized type of machine learning that uses the hierarchical approach. It is a set of algorithms that have helped us in solving certain types of computing problems which are difficult to solve with the explicit programming.

The unsupervised form includes showing the computer a whole set of images without labels. The machine would definitely not able to figure out the labels on its own but will be able to group together all the images that are similar.

  • It has a lot of layers beneath it

 deep learning AI

Source – gitbooks.io

The work of deep learning AI is to process the data through the many layers. An input is taken in this technique and an output is created and then that output is used as an input for the next layer. The process is started by making very small abstractions or generalizations and then it is moved to broader generalizations.

This field is going to get vast in the future and is going to solve a lot of human problems much quicker with the faster processing power.