Contact for Admission

Arun Arya

Prof. (Dr.) Arun Arya

Contact for Admission

Arun Arya

Prof. (Dr.) Arun Arya


How Future Ready Application of Deep Learning Can Help Engineering Students

Future ready applications of deep learning - Engineering Colleges 

Deep learning applications bring us self-driving cars and virtual assistants like Alexa, Siri and Google Assistant. But today, these creations are part of our everyday life. Deep Learning continues to fascinate us with its endless possibilities such as fraud detection and pixel restoration.Taking up a free online course at top engineering colleges in Jaipur can help you learn the key concepts required to build your deep learning career. 

Think of a world with no road accidents or cases of road rage. Think of a world where every surgery is successful without causing the loss of human life because of surgical errors. Think of a world where no child is underprivileged and even those with mental or physical limitations can enjoy the same quality of life as does the rest of humanity. If these are too hard to fathom, think of a world where you could just segregate your old images according to your own parameters.

Self-Driving Cars

Deep Learning is the force that is bringing autonomous driving to life. A million sets of data are fed to a system to build a model, to train the machines to learn, and then test the results in a safe environment. The major concern for autonomous car developers of private engineering colleges in Jaipur is handling unprecedented scenarios. A regular cycle of testing and implementation typical to deep learning algorithms is ensuring safe driving with more and more exposure to millions of scenarios. Data from cameras, sensors, geo-mapping is helping create succinct and sophisticated models to navigate through traffic, identify paths, signage, pedestrian-only routes, and real-time elements like traffic volume and road blockages. 

News Aggregation and Fraud News Detection

There is now a way to filter out all the bad and ugly news from your news feed. Extensive use of deep learning in news aggregation is bolstering efforts to customize news as per readers. While this may not seem new, newer levels of sophistication to define reader personas are being met to filter out news as per geographical, social, economic parameters along with the individual preferences of a reader. Fraud news detection, on the other hand, is an important asset in today’s world where the internet has become the primary source of all genuine and fake information. It becomes extremely hard to distinguish fake news as bots replicate it across channels automatically. 

Natural Language Processing (NLP)

Understanding the complexities associated with language whether it is syntax, semantics, tonal nuances, expressions, or even sarcasm, is one of the hardest tasks for humans to learn. Constant training since birth and exposure to different social settings help students of engineering colleges Jaipur develop appropriate responses and a personalized form of expression to every scenario. Natural Language Processing through Deep Learning is trying to achieve the same thing by training machines to catch linguistic nuances and frame appropriate responses. Document summarization is widely being used and tested in the Legal sphere making paralegals obsolete. Answering questions, language modelling, classifying text, twitter analysis, or sentiment analysis at a broader level are all subsets of natural language processing where deep learning is gaining momentum. 

Virtual Assistants

The most popular application of deep learning is virtual assistants ranging from Alexa to Siri to Google Assistant. Each interaction with these assistants provides an opportunity to the students of best BTech college in Rajasthan to learn more about your voice and accent, thereby providing you a secondary human interaction experience. Virtual assistants use deep learning to know more about their subjects ranging you dine-out preferences to your most visited spots or your favourite songs. They learn to understand your commands by evaluating natural human language to execute them


Deep Learning were able to factor in audience response and match or player popularity to come up with a more accurate model. Netflix and Amazon are enhancing their deep learning capabilities to provide a personalized experience to its viewers by creating their personas factoring in show preferences, time of access, history, etc. to recommend shows that are of liking to a particular viewer. 

Visual Recognition

Imagine yourself going through a plethora of old images taking you down the nostalgia lane. You decide to get a few of them framed but first, you would like to sort them out. Putting in manual effort was the only way to accomplish this in the absence of metadata. Students of private engineering colleges in Jaipur should sort them out based on dates but downloaded images lack that metadata sometimes. In comes, Deep Learning and now images can be sorted based on locations detected in photographs, faces, a combination of people, or according to events, dates, etc. Searching for a particular photo from a library requires state-of-the-art visual recognition systems consisting of several layers from basic to advance to recognize elements. 

Fraud Detection

With Deep Learning, the banking and financial sector is plagued with the task of fraud detection with money transactions going digital. Autoencoders in Keras and Tensorflow are being developed to detect credit card frauds saving billions of dollars of cost in recovery and insurance for financial institutions. Fraud prevention and detection are done based on identifying patterns in customer transactions and credit scores, identifying anomalous behaviour and outliers. Classification and regression machine learning techniques and neural networks are used by the students of the list of engineering colleges in Jaipur for fraud detection. While machine learning is mostly used for highlighting cases of fraud requiring human deliberation, deep learning is trying to minimize these efforts by scaling efforts.


From medical imaging to analysing genomes to discovering new drugs, the entire healthcare industry is in a state of transformation and GPU computing is at the heart. GPU-accelerated applications and systems are delivering new efficiencies and possibilities, empowering physicians, clinicians, and researchers passionate about improving the lives of others to do their best work. 


BTech artificial intelligence engineering college will help you learn comprehensive curriculum and to build job-ready artificial intelligence skills. The program offers a hands-on learning experience with top faculty and dedicated mentor support. Great Learning also offers dedicated career assistance, interview preparation, and networking sessions.

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