Applications Of Deep Learning: Explained

In the past many years, artificial intelligence has shown immense contribution in the different sectors/industries. Applications like voice recognition or face detector are quite in use for security purposes.

Another application, Google’s automatic translator, have resulted from a technique called deep learning. So, it won’t be wrong to say that deep learning is the concept of neural network in artificial intelligence.

Deep learning is the new name that has been in use for 70 years now, on the name of neural network in artificial intelligence. The concept of the neural network first proposed in 1944 by Warren McCullough to MIT in 1952. That time, the research department has called the cognitive science department.

With passing time, neural network or deep learning has made an extraordinary growth. Do you ever imaging, the working of Google maps and its translator that inform about the roots in the preferred language. Along with it, there are several other applications of neural network in artificial intelligence.

Automatic Colourization Of Images:

In today’s time, several famous blockbuster movies are being released in colour. Traditionally this was done with the human effort because it is such a difficult task. Deep learning is used to use the objects, and their context within the photograph to colour the image, much like a human operator might approach the problem.

Adding Sound To The Silent Movies:

In today’s time, so many software are developed carries the feature where sound can be added externally to a silent recorded movie.

The system is trained using 1000 examples of video with the sound of a drum sticking different surfaces and creating different sounds.

Automatic Machine Translation:

Through this concept, a given the word, phrase or sentence in one language, automatically translate it into another language.

Automatic machine translation has been around for a long time, but deep learning is achieving a top result in two specific areas. Automatic translation of text and automatic translation of images.

Object Classification:

A neural network with artificial intelligence offers the technique where the clicked photographs gives a detail view of everything in the photo. There are several advancements with the concept has been made with the passing time.

A more complex variation of this task called object detection involves specifically identifying one or more objects within the scene of the photograph and drawing a box around them.

Image Captcha Generation:

We all have noticed the captcha image at the end of the application form. These captchas are attached in the image form or text form to verify the input is given through a real human, not a computer.

The concept has been introduced in 2014 through the uses of deep learning. It helps various companies to work in a safer and secure environment. This application is indeed impressive and brings so many advantages.

This post has covered the significant application of deep learning that are from real life. All the application is quite impressive and in use by most of us. This way, it becomes quite easy to relate the significance or the existence of the concept of deep learning.