{"id":54746,"date":"2023-08-26T05:29:47","date_gmt":"2023-08-26T05:29:47","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/gi3018-ai-or-dl-for-image-processing-syllabus-for-geo-2021-regulation-professional-elective-iii\/"},"modified":"2023-08-26T05:29:47","modified_gmt":"2023-08-26T05:29:47","slug":"gi3018-ai-or-dl-for-image-processing-syllabus-for-geo-2021-regulation-professional-elective-iii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/gi3018-ai-or-dl-for-image-processing-syllabus-for-geo-2021-regulation-professional-elective-iii\/","title":{"rendered":"GI3018: AI or DL for image Processing syllabus for Geo 2021 regulation (Professional Elective-III)"},"content":{"rendered":"

AI or DL for image Processing detailed syllabus for Geoinformatics Engineering (Geo) for 2021 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the Geo students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Geoinformatics Engineering 5th Sem scheme and its subjects, do visit Geo 5th Sem 2021 regulation scheme<\/a>. For Professional Elective-III scheme and its subjects refer to Geo Professional Elective-III syllabus scheme<\/a>. The detailed syllabus of ai or dl for image processing is as follows. <\/p>\n

Course Objectives:<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit I<\/h4>\n

EXPLORATORY DATA ANALYSIS\tInferential statistics – hypothesis testing – spectral divergence- spectral angle mapper – spectral correlation analysis – support vector machines- tree models – unsupervised learning – clusters -k-means- fuzzy concepts – possibilistic k means – training date sets- random forest classifier -measures of accuracy: RMS, correlation co efficient, ROC\n<\/p>\n

Unit II<\/h4>\n

ARTIFICIAL INTELLIGENCE\tFoundation of AI and history of AI intelligent agents: Agents and Environments, the concept of rationality, the nature of environments, structure of agents, problem solving agents, problem formulation – AI problems\n<\/p>\n

Unit III<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit IV<\/h4>\n

DEEP LEARNING CONCEPTS AND METHODS\tCloud essentials -Git hub – Concepts- convolution- pooling – activation functions – tensors-normalisation- sampling- training – loss function- optimizer – inference – ensemble techniques -models with multiple sources- patch based mode vs. fully convolutional mode- Introduction to CNNs-Back Propagation Algorithm, Vanishing and Exploding Gradients Overfitting Evolution of CNN Architectures: AlexNet, ZFNet, VGG Net, InceptionNets, ResNets, DenseNets.\n<\/p>\n

Unit V<\/h4>\n

APPLICATIONS OF CNN\tCNNs for Detection: Background of Object Detection, R-CNN, Fast R-CNN, Faster R-CNN, YOLO. CNNs for Segmentation: Types of Segmentation: Instance vs semantic segmentation. FCN, Seg-Net, U-Net, Mask-RCNN.\n<\/p>\n

Course Outcomes:<\/h4>\n

\u2022On completion of the course, the student is expected<\/p>\n

    \n
  1. To provide Knowledge about exploratory data analysis<\/li>\n
  2. To understand concept of Artificial Intelligence<\/li>\n
  3. To understand about learning based classifiers<\/li>\n
  4. To learn concepts and various methods of deep learning<\/li>\n
  5. To learn about various applications of CNN<\/li>\n<\/ol>\n

    Text Books:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    Reference Books:<\/h4>\n
      \n
    1. Bratko, “Prolog: Programming for Artificial Intelligence\u201d, Fourth edition, Addison Wesley Educational Publishers Inc., 2011.<\/li>\n
    2. M. Tim Jones, “Artificial Intelligence: A Systems Approach(Computer Science)\u201d, Jones and Bartlett Publishers, Inc.; First Edition, 2008<\/li>\n
    3. Phil Kim, \u201cMatlab Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence\u201d, Apress, 2017.<\/li>\n
    4. Ragav Venkatesan, Baoxin Li, \u201cConvolutional Neural Networks in Visual Computing\u201d, CRC Press, 2017.<\/li>\n<\/li>\n<\/ol>\n

      For detailed syllabus of all the other subjects of Geoinformatics Engineering 5th Sem, visit Geo 5th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

      For all Geoinformatics Engineering results, visit Anna University Geo all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

      AI or DL for image Processing detailed syllabus for Geoinformatics Engineering (Geo) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Geo […]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[80],"tags":[],"class_list":["post-54746","post","type-post","status-publish","format-standard","hentry","category-geo"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54746","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=54746"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54746\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=54746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=54746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=54746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}