Deep Learning

Object Detection using Yolo v3

Object Detection can be defined as the task of object classification and localization. Object Detection plays an important role in many Deep Learning projects and AIoT Applications such as we need object detection for Autonomous Vehicles, we need it for security camera surveillance, and even for applications used by us for generating PDFs nowadays uses …

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Analyzing EEG brainwave data to detect emotions — on cAInvas

Detecting whether a human is experiencing a positive, negative, or neutral emotion based on EEG brainwave data analysis Photo by Lobster on Dribbble Brain cells communicate with one another through electrical signals. EEG, which stands for electroencephalography, is a method to record the electrical activity of the brain using electrophysiological monitoring. This is done through non-invasive (in …

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Toxic Comment Classification using Deep Learning

Photo by Daniel Montero on Dribbble The importance of maintaining civility on an online forum cannot be overstated. Cyberbullying is defined as “willful and repeated harm inflicted through the medium of electronic text.” It involves sending degrading, threatening, and/or sexually explicit messages and images to targets via websites, blogs, instant messaging, chat rooms, e-mail, cell phones, …

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Text generation using LSTM

Photo by VergilLee_1992 on Dribbble What if I tell you, you can generate your very own stories, poems, texts using deep learning. Fascinating right? In this, article we’ll be discussing more about how this is achievable in-depth. We’ll be working on RNN, and for that, we’ll be using LSTM. Now, what is LSTM? Long Short Term …

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Credit Card Fraud Detection-Using Deep Learning

Photo by XPLAI on Dribbble It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. The fraud usually happens when someone obtains your credit or debit card numbers through unprotected websites or through an identity theft scheme in …

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Grape Leaves Disease Detection

Built a Deep Learning model using TensorFlow and Keras for grape leaf disease detection Photo by Sasha Kolesnik on Dribbble Aim To develop a Deep Learning model to identify diseased grape leaves using python programming language and Deep learning libraries Prerequisites Before getting started, you should have a good understanding of: Python programming language Deep Learning …

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