Hello to all my dear friends!
In this post, I’ll talk a bit about deep learning in the field of artificial intelligence.
What is Deep Learning?
It is a machine learning method based on artificial neural networks. It mimics how human brain works. Without putting any framework in place like predefined data/algorithm, it learns on it’s own. Just like childs learn by seeing others, they learn to walk, talk and other activities. Similarly deep learning works.
It works by feeding a lot of data with labels. So for example lots of images of animals say cats and dogs. It learns and then after that any new image it can tell whether it’s a cat or a dog.
So this requires a lot lot of data to make the machine learn. There are different ways in which neural networks can be constructed and are called the neural network architectures.
Such neural networks can be used to predict customer churn, or find property value based on some inputs. In generally this can be used for anything that has inputs and is required to predict the output.
Examples of Deep Learning in Action
- Google uses AI to identify cancer in humans
- Spotify uses deep learning for recommendation engines
- GoldSpot Discoveries uses deep learning for mineral exploration
- Digital Domain uses it for visual effects (VFX)