Neural Network for Satellite Data Classification Using Tensorflow in Python

#artificialintelligence 

Deep Learning has taken over the majority of fields in solving complex problems, and the geospatial field is no exception. The title of the article interests you and hence, I hope that you are familiar with satellite datasets; for now, Landsat 5 TM. Little knowledge of how Machine Learning (ML) algorithms work, will help you grasp this hands-on tutorial quickly. For those who are unfamiliar with ML concept, in a nutshell, it is establishing the relationship between a few characteristics (features or Xs) of an entity with its other property (value or label or Y) -- we provide plenty of examples (labelled data) to the model so that it learns from it and then predicts values/ labels for the new data (unlabelled data). That is enough of theory brush-up for machine learning!

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