Today most of the artificial intelligence problems are solved
using Deep learning techniques. It provides better results than traditional
Machine learning approaches. As sometimes machine learning does not perform
better as the size and complexity of the data increases. Here Deep learning
plays an important role and provides better results.
Some of the most popular applications of Deep learning are:
Brain tumour detection
Automatic game playing
There are many more applications of deep learning techniques in
the field of Artificial Intelligence.
Deep learning techniques are the next big leap after machine
learning with a more advanced implementation. Currently, it is heading towards
becoming an industry-standard bringing a strong promise of being a game-changer
when dealing with raw unstructured data and a very large amount of data.
Deep learning is currently one of the best solution providers for a
wide range of real-world problems. Developers are building AI programs that,
instead of using previously given rules, learn from examples to solve
complicated tasks and gives the most accurate results.
Deep learning is being used by many data scientists, where Deep
neural networks are delivering results that are ever more accurate as compared
to others techniques.
The idea behind deep neural networks is to develop deep neural
networks by increasing the number of training layers for different hidden
layers present in the network. Machine learns more about the data until it is
as accurate as possible. Many data scientist and developers use deep learning
techniques to implement complex machine learning tasks, and also to train AI
networks to have high levels of perceptual recognition with desired results.
The most popular application of Deep learning is Computer vision.
Deep learning is Computer vision
Some of the examples of computer vision problems are:
Classification with Localization
Here one of the main tasks is achieve is image classification
where given input images are classified into different classes such as cat,
dog, male, female etc.
It’s a very difficult task for a machine to learn how to classify
different images. As we humans learn how to do this task very early in our
lives and have these skills of quickly recognizing patterns, generalizing from
prior knowledge, and adapting to different image environments. Deep Learning
also show promising result to classify the different images.
So, Deep Learning has a wide application in real-world problems.
I hope you enjoyed reading this article and finally, you came
to know about Deep Learning Applications.
For more such blogs/courses on data science, machine
learning, artificial intelligence and emerging new technologies do visit us at InsideAIML.