Identify the breed of the sheep in the image using neural networks. Photo by Petter Pentilä on Dribbble Do you know how many breeds of sheep are out there? Many of us do not know their names, let alone recognizing them. This task requires expertise and becomes easier with experience. For curious minds, a model that […]
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Find potential hazardous and non-hazardous near-earth asteroids. Photo by Christopher Jones on Dribbble Asteroids are small, rocky objects like mini-planets that orbit the Sun. They fall under the term planetoids that is used to describe any astronomical object that orbits the Sun that isn’t a comet. In his final book Brief Answers to the Big Questions,
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Are they being sarcastic? Photo by Su for RaDesign on Dribbble Sarcasm is the use of words that convey a meaning opposite to the one you actually intend to pass on. It has the ability to flip the sentiment of the sentence. This makes sarcasm detection an important part of sentiment analysis. Most of the datasets
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Detecting whether a person is confused or not based on the EEG recordings. Photo by George Vald on Dribbble Do students always ask doubts when they are confused? How do you know if someone is confused? Facial expressions, maybe. Confusions happen when we are not able to comprehend what we see/hear. EEG, which stands for electroencephalography,
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Detect the language of the given text data using deep neural networks. Photo by Pendar Yousefi on Dribbble Language detection refers to determining the language that the given text is written in. It is a text categorization problem at its core, with the languages being the classes. This categorization becomes important when the language of the
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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
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Assess the quality of glass based on derived features using neural networks. Photo by Maggle on Dribbble The quality of glass refers to its transparency, heat resistance, stability, etc. It depends on many features such as thickness, composition, luminosity, and many others. A variation in its composition can define changes in the quality of glass, thus
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Identify the type of star using its characteristics and neural networks. Photo by Alex Kunchevsky for OUTLΛNE on Dribbble Classification of stars based on their characteristics is called stellar classification. Here we classify them into 6 classes — Brown Dwarf, Red Dwarf, White Dwarf, Main Sequence, Supergiant, and Hypergiant. Implementation of the idea on cAInvas — here! Dataset On Kaggle
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