{"id":22092,"date":"2022-08-19T18:22:07","date_gmt":"2022-08-19T12:52:07","guid":{"rendered":"https:\/\/tutorialscart.com\/?p=22092"},"modified":"2022-08-19T18:22:07","modified_gmt":"2022-08-19T12:52:07","slug":"advanced-computer-vision-with-deep-learning","status":"publish","type":"post","link":"https:\/\/tutorialscart.com\/advanced-computer-vision-with-deep-learning\/","title":{"rendered":"Advanced Computer Vision with Deep-learning"},"content":{"rendered":"

Advanced Computer Vision with Deep-learning<\/h1>\n
Object detection, Image segmentation, Visualization and Interpretability<\/div>\n
<\/div>\n
\n
\n

Requirements<\/h2>\n
    \n
  • \n
    \n
    An interent in Computer-vision with Deep-learning<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n
    \n
    \n

    Description<\/h2>\n
    \n
    \n
    \n
    \n

    Hello I am Nitsan Soffair, A Deep RL researcher at BGU.<\/p>\n

    In this Computer-vision course, you will learn the\u00a0newest<\/strong>\u00a0state-of-the-art<\/strong>\u00a0Computer vision (CV) Deep-learning knowledge.<\/p>\n

    You will do the following<\/p>\n

      \n
    1. Get\u00a0state-of-the-art knowledge<\/strong>\u00a0of the following\n
        \n
      1. Object detection<\/li>\n
      2. Image segmentation<\/li>\n
      3. Visualization and Interpretability<\/li>\n<\/ol>\n<\/li>\n
      4. Validate<\/strong>\u00a0your knowledge by answering short and very easy 3-question queezes of each lecture<\/li>\n
      5. Be able to complete the course by ~2 hours<\/strong>.<\/li>\n<\/ol>\n

        Syllabus<\/strong><\/p>\n

          \n
        1. Introduction to Computer vision\n
            \n
          1. Classification and Object detection\n

            Technology in the field of computer vision for finding and identifying objects in an image or video sequence<\/li>\n

          2. Segmentation\n

            The process of partitioning a digital image into multiple\u00a0image segments<\/strong>\u00a0of pixels’ sets.<\/li>\n

          3. Transfer-learning\n

            A research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem.<\/li>\n

          4. Resnets\n

            An artificial neural network (ANN).\u00a0Skip connections<\/strong>\u00a0are used to jump over some layers.<\/li>\n

          5. Object localization\n

            a computer technology to detect instances of semantic objects of a certain class i.e. humans, buildings in images and videos.<\/li>\n<\/ol>\n<\/li>\n

          6. Object detection\n
              \n
            1. R-CNN\n

              Detection algorithm.<\/li>\n

            2. Fast R-CNN\n

              Detection network region-proposal algorithm.<\/li>\n

            3. Faster R-CNN\n

              Object detection network region-proposal algorithm.<\/li>\n

            4. RetinaNet\n

              A dense detector evaluating the loss.<\/li>\n<\/ol>\n<\/li>\n

            5. Image segmentation\n
                \n
              1. FCN\n

                Transforms image pixels to classes using CNN.<\/li>\n

              2. Upsampling methods\n

                Performed on a sequence of signal’s samples\/continuous function.<\/li>\n

              3. Evaluation with IoU and Dice-score\n

                Evaluation metrics.<\/li>\n

              4. U-Net\n

                A Deep neural-networl model based on fully-connected neural-network.<\/li>\n<\/ol>\n<\/li>\n

              5. Visualization and Interpretability\n
                  \n
                1. Class activation maps\n

                  Technique gets the discriminative image regions used by CNN to identify specific classes in image.<\/li>\n

                2. Saliency maps\n

                  An image that highlights the region on which people’s eyes focus first.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

                  Resources<\/strong><\/p>\n

                    \n
                  • Wikipedia<\/li>\n
                  • Coursera<\/li>\n<\/ul>\n<\/div>\n
                    \n

                    Who this course is for:<\/h2>\n
                      \n
                    • Anyone intersting in Computer-vision with Deep-learning<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                      Advanced Computer Vision with Deep-learning Object detection, Image segmentation, Visualization and Interpretability Requirements An interent in Computer-vision with Deep-learning Description Hello I am Nitsan Soffair, A Deep RL researcher at BGU. In this Computer-vision course, you will learn the\u00a0newest\u00a0state-of-the-art\u00a0Computer vision (CV) Deep-learning knowledge. You will do the following Get\u00a0state-of-the-art knowledge\u00a0of the following Object detection Image […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[2004],"tags":[],"dealstore":[],"offerexpiration":[],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/posts\/22092"}],"collection":[{"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/comments?post=22092"}],"version-history":[{"count":0,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/posts\/22092\/revisions"}],"wp:attachment":[{"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/media?parent=22092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/categories?post=22092"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/tags?post=22092"},{"taxonomy":"dealstore","embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/dealstore?post=22092"},{"taxonomy":"offerexpiration","embeddable":true,"href":"https:\/\/tutorialscart.com\/wp-json\/wp\/v2\/offerexpiration?post=22092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}