Browsing by Subject "Deep Learning"
Now showing items 1-7 of 7
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English Handwritten Word Recognition
(2021)Today, tons of data is being generated every day and this helps with the automation of several tasks. Automated recognition of handwritten words from images is one such challenging task. This can be done by extracting the ... -
Image aesthetic assessment using deep learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)Image aesthetic assessment is defined as to classify the image in aesthetically good images and aesthetically bad images. In era of digital media, video and images has impact more in human life. Image aesthetic assessment ... -
Image Super Resolution Using Deep Neural Networks
(2021)The recent outbreak of COVID-19 has motivated researchers to contribute in the area of medical imaging using artificial intelligence and deep learning. Superresolution (SR), in the past few years, has produced remarkable ... -
Job recommendation system
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)Recommender systems are being used in all types of web based services. As the amount of data available in each service is huge it is not possible to search all the relevant and useful information. So for this purpose we ... -
Object classification of remotely sensed images using deep learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2016)Object classification of remotely sensed images is one of the fundamental tasksto perform various operations such as land planning, traffic monitoring, urbanmonitoring, disaster control and weather forecasting, etc. There ... -
Sentence detection
(2020)Sentence detection is a very important task for any natural language processing (NLP) application. Accuracy and performance of all other downstream natural language processing (NLP) task like Sentiment, Text Classification, ... -
Video captioning
(2020)In recent years, models for video captioning task has been improved very much. Despite advancement, it is still impeded by hardware constraints. Video captioning models takes a sequence of images and caption as inputs, ...