FAQs ➡️ What are some of the Deep Learning Applications?

Deep learning finds its way in many of the real-time industry applications and day-to-day activities that we come across. #Deeplearning uses large datasets, which are available now which makes building #DL modeling easier. Deep learning models are used where it is difficult to identify the features manually.

Following are some of the well-known deep learning applications:

▪️ Autonomous cars

▪️ X-RAY #classification in #healthcare (CNN)

▪️ Advanced #facialrecognition (#CNN)

▪️ Share market (ML)

▪️ Visual QA (Question & Answer) (CNN/ #ML)

▪️ Advanced voice and voice-assisted tools and devices (#RNN, LSTM, Language Translation)

▪️ Automatic machine translation (RNN, #LSTM)

▪️ #Imagerecognition, image captioning (CNN, RNN)

▪️ Anomaly #detection and classification (ML, DL algorithms)

▪️ Predicting earthquakes (Advanced DL, ML)

▪️ #Financialmarket analysis

▪️ Automatic game playing

▪️ Language translations (#NLP, RNN)

▪️ Pixel restoration (CNN, #GAN)

▪️ Photo descriptions (CNN, GAN)

▪️ Demographic and election predictions

Hope this was helpful.

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