Image Classification Using Tensor Flow

In this research article, a neural network model is created and trained so that, it will be able to predict digits from hand-written images with a high degree of accuracy. Tensor Flow syntax with Keras as its front end has been used for this purpose. The trained model can take an image of a handwritten digit as input and predicts the class of that digit, that is, it predicts the digit or it predicts the class of the input image. Nowadays, PCs can utilize machine vision advancements in blend with a camera and man-made reasoning programming to accomplish picture acknowledgment.