Use deep learning to differentiate between honey bees that are and aren’t carrying pollen. Photo by Thinkmojo on Dribbble Bee pollen is a ball or pellet of field-gathered flower pollen packed by worker honeybees, consisting of simple sugars, protein, minerals and vitamins, fatty acids, and other components in small quantities. This is the primary food source for …
Photo by MaryArty on Dribbble Built a simple Artificial Neural Network using TensorFlow and Keras which classifies the organic compounds as either Musk or Non-Musk compounds Aim To develop a Deep Learning model that classifies the organic compounds as either Musk or Non-Musk compounds using python programming language and Deep learning libraries Prerequisites Before getting started, …
Using a ConvNet to detect the presence of ships in aerial images taken of the San Francisco Bay Photo by MUTI on Dribbble Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of …
Detecting Ships from Aerial Imagery using Deep Learning Read More »
Photo by Dana Pavlichko for Happy Cog on Dribbble Introduction Blood is a constantly circulating body fluid which delivers nutrients and oxygens to the cells and aids in the transport of metabolic by-products away from the cells. It is one of the most vital components of the human body and multiple functionalities of the …
Blood Cell classification using Deep Learning on Cainvas Platform Read More »
Photo by ForSureLetters on Dribbble In this age of digitalization, everything is online, paying bills, placing orders, filling documents, songs, etc. As more and more activities comes to online platforms a really important problem arises how to check the authority of the person on the Net. Of course Passwords can’t be used every time and especially …
Photo by Evgenia Eiter on Dribbble Network encroachment detection systems (NEDS) are installed at a predetermined point in the network to analyze traffic from all connected devices. It monitors all subnet traffic and compares it to a database of known threats. An alarm can be issued to the administrator whenever an assault has been detected or …
Encroachment Detection System based on anomalies in Network — Using Deep Learning Read More »
Train a deep learning model to respond to a specific word. Photo by Admin on Crowd4Test Audio wake word systems respond to a specific phrase (Cainvas, in this case). You may use your own word as a wake word which you can use later on to turn up your own IoT device. The challenges in training …
Photo by Pavelas Laptevas for Cub Studio on Dribbble Handwritten Character Recognition is often considered as the “Hello World” of Modern Day Deep Learning. Handwritten Optical Character Recognition has been studied by researchers and Deep Learning practitioners for decades now. It is by far the most understood area in Deep Learning and pattern recognition. Anyone starting …
Handwritten Optical Character Recognition Calculator using CNN and Deep Learning Read More »