with No-Code Application Development A Note to Beta Readers Promoters of the book at https://www.thetinymlbook.com/ are offering kindle, PDF. and paper back for the review. …

What is TinyML? TinyML term is a combination of Tiny and ML (aka Machine Learning). It is broadly defined as a technology including software, hardware, sensors, algorithms and platforms that enable machine learning and deep learning models to run on tiny electronics boards like microcontrollers and other resource constrained devices without internet connectivity…

There are 6 different logos type (Burger King, McDonalds, Other, Starbucks, Subway, KFC). We have used CNN for predicting new ball images. This Model Predicts whether the image is of which brand by seeing logos using Convolution Neural Network. Importing Libraries: Unzip the dataset: Data Pre-processing: Map the classifications i.e. classes to an integer and display the list of all unique 6 brands.

MNIST like dataset for Kannada handwritten digits The goal of this competition is to provide a simple extension to the classic MNIST competition we’re all familiar with. Instead of using Arabic numerals, it uses a recently-released dataset of Kannada digits. Kannada is a language spoken predominantly by the people of Karnataka in southwestern India. The language has…

A scientific approach for determining red wine quality using Deep Learning! Red wine’s been a part of our society since millenniums through social gatherings, religious events or even through cultural engagements. There is no denying that drinking red wine is beneficial for our health. …

Are the most common cause of deaths globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Heart failure is a common event caused by Cardiovascular diseases. It is characterized by the heart’s inability to pump an adequate supply of blood to the…

Classification is the categorization of the object based on defined classes.. Introduction Object Detection is one of the most famous and extensively researched topics in the field of Machine Vision. To understand Object Detection in simplistic terms, it deals with identifying and localizing some of the classes such as person, car, bus, spoon, etc. from the image. In this article, let’s have…

Using a CNN to recognize hand digits can come in handy for many use cases. One of them being smartwatches. If a smartwatch can recognise hand digits, using them to control media in mobile or the watch is no big deal. This can also be used in TV remotes too…

Strokes mostly caused by loss or reduction of oxygen supply to the brain. This loss of supply is brought about by loss of blood or damage to the blood vessels. In this article, we attempt to use our Machine Learning and Deep Learning skills to predict the onset of a…