Classifying Minerals using Deep Learning Algorithms

Abstract A mineral is an inorganic substance that occurs in nature with specific chemical content and ordered atomic positioning. Minerals are identified by their physical properties. Minerals’ properties related to composition bonding. Quartz extremely valuable economically. Valuable minerals some examples of gemstones citrine, amethyst, quartz smoky texture rose color can be said as gemstones. Sandstone, primarily composing quartz, the most used building stone. Biotite has limited number applications for commercial use. Deep learning subset machine learning. It based on self-learning improvement through examination computer algorithms. TensorFlow library combines a different algorithms models which allows users build deep neural networks projects/model such image recognition/classification many more. Image Classification assignment one label from fixed set categories input image. In this paper Convolutional (CNNs) processing, classification, segmentation, other auto-correlated data. This will explain techniques explanation classifying images using algorithm called convolutional network. Identifying field tedious activity requires lot information conformation here help we made model all its feature already embedded it classify reasonable accuracy furthermore future more accurate fit accordingly conditions.