Abstract：Design of the online platform of intelligent library based on machine learning and image recognition The Overview of machine learning Key Branchand then provide the complete protection of the deep neural networkIt covers important critical conceptstesting methodsapplicationsissues related to assessment levelregression and classificationunattended learningreduction set and dimensionactive learning and semitrackingpre-attachment methodcoverand intensive learningThe scope of in-depth neural network communication includes Retrieval Neural NetworksRNNsand word embedding and related technologiesDiscussion issuesthe online platform of intelligent library technology and easy relational tools are still so obvious that computer origin is a challenge and is based on the natural visualization of Digital LibraryDLrelated applications and large data analysisTo search the online platform of intelligent library documents based on the digital library imagerecommend designing an assortment that adds descriptions to main imagesFirstpropose a machine learning technique visual description appropriate to the representation of that imageThe image is divided into regions based on the type of a particular area and then pointersSecondpropose an image classification method for the freedom of interpretation spacesThis feature is obtained by combining selection and kernel-based method classificationRetrieval and IndexingThis part involves the search for Retrieval Neural NetworksRNNSand smart library documents based on digital library imagesCollection ClassificationIt refers to a visual description of a machine learning technologywhich is important to the image of the imageThere is also an image classification method mentioned the interpretation spaceLibrary AutomationThe article involves natural visualization and big data analysis of DL-based applicationswhich may be related to library automationMachine learningThe article talks about different machine learning technologiessuch as the return and classification of the evaluation leveland the reduction of unsupervised learningDeep learningTalking about deep neural networks and its categoryespecially Retrieval Neural NetworksRNNNSand word embeddingMode recognitionmentioned image searchimage division and pointer in specific areas