Train a deep learning model to respond to the presence of certain objects in the image/video frame (person here). Photo by LCR on Dribbble Just as audio wake word systems respond to a specific phrase, visual wake word systems respond to the presence of certain objects in the image/frame. Such wake word systems are important in designing …
Using convolutional neural networks to classify heartbeat sounds into five categories. Photo by Chan Luu on Behance, Adobe Arrhythmia refers to an irregularity in the rate or rhythm of the heartbeat. This includes beating too fast or too slow or with an irregular rhythm. Deep learning models have proven useful and very efficient in the medical …
A malicious website is a site that attempts to install malware (a general term for anything that will disrupt computer operation, gather your personal information, or, in a worst-case scenario, gain total access to your machine) onto your device. So it is necessary to detect malicious websites or URLs and it can be achieved by …
Training a deep learning model to prescribe a drug based on the patient’s data. Photo by Vadim Gromov on Dribbble A prescription drug is one that requires a medical prescription to be dispensed by law. On the other hand, an over-the-counter drug is one that can be dispensed without a prescription. When it comes to the …
Automatic Image Captioning is the process by which we train a deep learning model to automatically assign metadata in the form of captions or keywords to a digital image. Image captioning has various applications such as for annotating images, Understanding content type on Social Media, and specially Combining NLP to help Blind people to understand …
Classifying Indian currency notes using their images and deep learning. Photo by Alexander Barton for NJI Media on Dribbble Currency notes have identifiers that allow the visually impaired to identify them easily. This is a learned skill. On the other hand, classifying them using images is an easier solution to help the visually impaired identify the …
Energy Consumption Models are needed for Energy Conservation and they serve as the basic building blocks of Smart Buildings and Smart grid Systems. With the help of Deep Learning, we can predict the energy consumption and deliver only that much energy which is needed and hence contribute towards energy conservation. Photo by Alex Pirenis, Konstantinos …
Photo by Javier Jaén, Svetikd on The New Yorker Deepfake has been derived from “Deep Learning” which is a part of Machine Learning and involves the use of Artificial Neural Networks and the other word is “fake”. Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else’s …