Deep Learning has come up with a lot of fascinating applications such as virtual assistants, Alexa, Google Assistant, self-driving cars, and fraud detection, a few years ago we have hardly imagined that we would come across these deep learning applications but it’s now the reality.
Human face Detection helps us to learn how to detect a particular object in the image and starts working with the detection of the object. This helps in identifying the people in the photographs or images as face detection is a computer vision problem.
The cyber-attack is one of the most common problems of that small and large organization face and prediction of those cyber-attacks is one of the major challenges to face.
The COVID-19 pandemic has made the need to develop novel computer-assisted diagnosis tools for the purpose of rapid and cost-effective screening in all those places where traditional testing techniques in massive amount is not feasible.
The students can easily manipulate the system by signing /taking attendance on another student’s behalf. Hence this becomes a major problem. Hence there must be a sure way of knowing whether the student is present in the class or not.
Text generation is one of the interesting applications of deep learning. The challenging aspect of this project is that it is not easy to generate sequential data like the text as it requires an understanding of the context information.
This project helps in the understanding of image classification. It is quite fascinating when the machines are able to identify the traffic signs based on a given image or picture.
Drowsy Driver Detection System is a project that is designed to prevent fatal accidents happening on the road. One of the major causes of accidents on road is the drowsiness of the drivers.
The technology is growing day by day and is also evolved much in terms of agriculture, while there is also the issue that needs to be considered is plant disease detection.
In gender recognition using voice, machines are taught to identify between the male and female voices. They are just needed to provide the audio clips with the male and female voices.
Many of us are very fond of listening to music, but what if I told you that you can music automatically? In deep learning, it is possible to generate small tracks of music automatically with less human intervention.
There is a variety of news that we come across through various platforms or chat applications such as WhatsApp, but how to recognize which are real and which are fraudulent?
While traveling from one location to another we find it difficult with the people over there if they are having different mother tongues. Machine Translation (MT) mainly focuses on translation from one language to another.
Lane Detection and assistance is a concern that mainly comes with automatic driving cars. In this project, lanenet model is used for real-time lane detection.
Deep learning has made it possible for Human Pose Detection when they pose in front of the camera while taking pictures. There are various algorithms proposed To estimate the pose they work by identifying the component parts and trying to understand their connections.
Another application of deep learning in building VAE or Variational Autoencoders. They have an encoder and decoder built inside them which helps to generate new data that is very similar to data used while training.