Latest Resources in Neural Network

Neural Network

Using Convolutional Neural Networks to Classify Street Signs medium.com

Published December 8, 2019 under Machine Learning

Since the invention of the automobile, manufacturers have steadily added more safety features and improved car design over time with the goal of keeping drivers safer on the road. Automotive manufacturers have spent millions of dollars researching safety improvements for seatbelts, tires, and pretty much every car piece or part imaginable. Despite all of this investment, driving remains substantially more fatal than alternatives such as air travel in 2019. According to the National Safety Council, approximately 40,000 people died in automotive accidents in the United States alone in 2018. In fact, there were a total of ~500 deaths resulting from plane crashes recorded globally in 2018 — that’s 80 times fewer deaths when compared to car crash fatalities in the US only.

Logo Recognition Using Machine Learning and Flask API https://heartbeat.fritz.ai/logo-recognition-ios-application-using-machine-learning-and-flask-api-aec4eff3be11

Published October 5, 2019 under Machine Learning

Comparing 5 popular neural net architectures on iOS: VGG16, ResNet50, InceptionV3, GoogleNet, and SqueezeNet using PyTorch.

How to train a neural net to play cards apptic.me

Published September 7, 2019 under Machine Learning

In this article, we’ll use some basic machine learning methods to train a bot to play cards against me. The card game that I’m interested in is called Literature, a game similar to Go Fish.

The version of Literature that we implemented is roughly similar to the rules I linked above. Literature is played in two teams, and the teams compete to collect “sets.” A set is a collection of either A – 6 of a suit or 8 – K of a suit (7’s are not included in the game).

Reverse Image Search with Machine Learning commercetools.com

Published August 30, 2019 under Machine Learning

The Machine Learning team at commercetools is excited to release the beta version of our new Image Search API.

Image search (sometimes called reverse image search) is a tool, where given an image as a query, a duplicate or similar image is returned as a response. The technology driving this search engine is called computer vision, and advancements in this field are giving way to some compelling product features.