Classification problems with Tensorflow. – Mohammed Rampurawala – Medium

How to achieve classfication in tensorflow? Classification is the process of determining/predicting the class of given data points by using the existing points labeling. It comes under the category of supervised learning in which the model learns from the given data points and then uses this learning to classify new observations, this data can be bi-class(spam or not spam) or multi-class(Grade A, Grade B, Grade C or Grade D). A classification problem is when the output variable is a category, such as "green" or "red" and "spam" or "not spam". There are various applications in classification in many domains such as in Medical diagnosis, Grading system, Scores predication, etc. Today I will discuss more on LinearClassifier and its implementation and how to switch from LinearClassifier to Dense Neural Network.