Understanding how Deep Learning learns to play SET®

In the past few years, deep learning has seen incredible success in image recognition applications. In this post I examine how to train a convolutional neural network to recognize playing card images from a game called SET®, explore the structure of the model to get some insight into what it is "seeing", and present a webcam application that uses the deployed model in a near-realtime setting. SET is a card game where the objective is to find triples of cards, Read more The post Understanding how Deep Learning learns to play SET® appeared first on Cloudera Engineering Blog.

✔ Read More...

I guess you came to this post by searching similar kind of issues in any of the search engine and hope that this resolved your problem. If you find this tips useful, just drop a line below and share the link to others and who knows they might find it useful too.

Stay tuned to my blog, twitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.

This article is related to

CDH,Cloudera Data Science Workbench,Data Science,accuracy,card games,computer vision,Convolutional Neural Network,data,data analysis,Data Visualization,Deep Learning,image recognition,keras,machine learning,neural network,Set,Set game,tensorflow,Training,validation