[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117913-en":3,"doc-seo-117913-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117913,16904993612988,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Development in Deep Convolutional Neural Networks by using Machine Learning Framework","Machine learning drives modern progress in vision tasks including image classification, image detection, and picture identification. The work highlights recent advances that have accelerated the adoption of convolutional neural networks (CNNs) for image categorization, emphasizing CNNs as strong models that can even match or surpass human performance. The paper’s main objective is to provide an overview of the rise and development of machine learning and deep learning, the role of CNNs, and how machine learning supports image categorization, concluding with a comparison to conventional methods.","Development in Deep Convolutional Neural Networks by using  \nMachine Learning Framework  \nYousuf Tarbez  \nM. Tech Student, Department of Computer Science and Engineering, Jamia Hamdard, India  \n[Corresponding Author: yousuftarbez.100@hotmail.com](Corresponding Author: yousuftarbez.100@hotmail.com)  \n\n| Received: 12-02-2023 | Revised: 27-02-2023 | Accepted: 20-03-2023 |\n| --- | --- | --- |\n| ABSTRACT\u003Cbr>In recent years, the machine learning technology has drawn more interest in a variety of vision tasks such image classification, image detection, and picture identification. Recent improvements in machine learning methods, in particular, stimulate the use of convolutional neural networks for image classification. CNNs are recognised as a potent class of models for image identification issues, sometimes even outperforming humans. The study described in this paper's major objective is to provide an overview of the rise and development of machine learning, deep learning, CNN, and the use of machine learning for image categorization. The CNN and conventional methods are contrasted at the conclusion.\u003Cbr>Keywords: deep learning, neural networks, convolutional neural networks |  |  |\n\nI. INTRODUCTION  \nThe ability of a computer to display \"intelligence\" is the simplest definition of artificial intelligence. John Mc Carthy, considered the inventor of artificial intelligence, defined it as \"the science and engineering of creating intelligent machines, primarily intelligent computer programmes.\" Making machines seem to have human intelligence is the large and crucial field of artificial intelligence in computer science. Artificial intelligence is a subject of research, not a system. AIresearch's beating heart and soul are knowledge engineering. If machines had access to a wealth of information about the world, they could be programmed to behave and respond like people.  \n1.1 Computer Learning  \nAn aspect of artificial intelligence is machine learning. Data science has a subfield called \"Machine Learning\" that allows computers to \"learn\" without having to be explicitly trained by humans. The Machine Learning model creates patterns by dissecting the historical data known as \"training data\" and uses these patterns to learn and predict the future. Such forecasts provided by ML models are becoming more accurate every day. Since the past decade, machine learning has helped us with self-driving cars, speech recognition, effective web search, and a significantly enhanced knowledge of the human social structure. These days, machine learning is so pervasive that many people utilise it without even realising it. It is also seen by many researchers as the most effective path towards AI that can compete with humans. The success of a machine depends on two factors: how much abstraction data speculation occurs, and how well the computer can use what it has learned to forecast the future. The goal of machine learning, which is closely related to the goal of AI, is to fully comprehend the concept of learning, including human learning and other types of learning, about the computational aspects of learning behaviours, and to instill the ability to learn in computer systems. Machine learning, which has applications in many fields of science, engineering, and society, is at the heart of artificial intelligence's success.  \n1.2 Techniques for Machine Learning  \nNowadays, machine learning is employed extensively across all industries, even though some of these applications might not always be obvious. Machine learning's primary methods include:  \n1. Classification: Classification relies on training data, observations with established categories, and predicts the category to which a new observation belongs. For instance, classifying the price of a house into the categories of very expensive, costly, affordable, cheap, or very cheap.  \n2. Regression: It uses a continuous data set to forecast a value. For instance, estimating the cost of a property depending on i","cbCaigqZoPvggsZj","https://ap.wps.com/l/cbCaigqZoPvggsZj","pdf",186418,1,6,"English","en",105,"# Abstract\n# Introduction\n## Computer Learning\n## Techniques for Machine Learning","[{\"question\":\"What is the paper mainly focused on?\",\"answer\":\"The paper provides an overview of the rise and development of machine learning and deep learning, the role of CNNs, and how machine learning is used for image categorization.\"},{\"question\":\"Why are convolutional neural networks important in image tasks?\",\"answer\":\"CNNs are presented as a powerful class of models for image identification and classification, often performing at a level comparable to or better than humans.\"},{\"question\":\"What machine learning techniques are discussed in the paper?\",\"answer\":\"The paper reviews core techniques such as classification, regression, clustering, recommendation systems, anomaly detection, and dimensionality reduction.\"}]","Development in Deep Convolutional Neural Networks by using Machine Learning Framework | PDF",1785680356,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"development-in-deep-convolutional-neural-networks-by-using-machine-learning-framework","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/development-in-deep-convolutional-neural-networks-by-using-machine-learning-framework/117913/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the paper mainly focused on?","Question",{"text":75,"@type":76},"The paper provides an overview of the rise and development of machine learning and deep learning, the role of CNNs, and how machine learning is used for image categorization.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why are convolutional neural networks important in image tasks?",{"text":80,"@type":76},"CNNs are presented as a powerful class of models for image identification and classification, often performing at a level comparable to or better than humans.",{"name":82,"@type":73,"acceptedAnswer":83},"What machine learning techniques are discussed in the paper?",{"text":84,"@type":76},"The paper reviews core techniques such as classification, regression, clustering, recommendation systems, anomaly detection, and dimensionality reduction.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]