{"id":17356,"date":"2020-08-22T08:12:30","date_gmt":"2020-08-22T12:12:30","guid":{"rendered":"https:\/\/bangla.salearningschool.com\/recent-posts\/neural-network-and-computer-vision\/"},"modified":"2020-08-22T08:12:30","modified_gmt":"2020-08-22T12:12:30","slug":"neural-network-and-computer-vision","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=17356","title":{"rendered":"Neural Network and Computer Vision"},"content":{"rendered":"

CNN https:\/\/www.youtube.com\/watch?v=-I0lry5ceDs<\/a><\/p>\n

Deep Learning Crash Course https:\/\/www.youtube.com\/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07<\/a><\/p>\n

A Data-Driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environment https:\/\/www.youtube.com\/watch?v=wlxov4YU_Tg<\/a><\/p>\n

UR:BAN Project – Behavior prediction and intention recognition https:\/\/www.youtube.com\/watch?v=N3-bUJieDNo<\/a><\/p>\n

Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction https:\/\/www.youtube.com\/watch?v=nNWA-EOBwWw<\/a><\/p>\n

Convolution Neural Networks – EXPLAINED https:\/\/www.youtube.com\/watch?v=m8pOnJxOcqY<\/a><\/p>\n

*** . *** *** . *** . *** . ***<\/p>\n

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CNN https:\/\/www.youtube.com\/watch?v=-I0lry5ceDs Deep Learning Crash Course https:\/\/www.youtube.com\/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07 A Data-Driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environment https:\/\/www.youtube.com\/watch?v=wlxov4YU_Tg UR:BAN Project – Behavior prediction and intention recognition https:\/\/www.youtube.com\/watch?v=N3-bUJieDNo Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction https:\/\/www.youtube.com\/watch?v=nNWA-EOBwWw Convolution Neural Networks – EXPLAINED https:\/\/www.youtube.com\/watch?v=m8pOnJxOcqY *** . *** *** . *** . … <\/p>\n

Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-17356","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":17353,"url":"http:\/\/bangla.sitestree.com\/?p=17353","url_meta":{"origin":17356,"position":0},"title":"Misc Motion Learning and Prediction, Target Tracking, and related","author":"Sayed","date":"August 20, 2020","format":false,"excerpt":"An Introduction to Graph Neural Networks: Models and Applications https:\/\/www.youtube.com\/watch?v=zCEYiCxrL_0 Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation https:\/\/machinelearningmastery.com\/encoder-decoder-recurrent-neural-network-models-neural-machine-translation\/ Illustrated Guide to LSTM\u2019s and GRU\u2019s: A step by step explanation https:\/\/towardsdatascience.com\/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21 RNN\/LSTM\/GRU https:\/\/www.cs.toronto.edu\/~tingwuwang\/rnn_tutorial.pdf Maximum Likelihood Joint Tracking and Association in a Strong Clutter https:\/\/arxiv.org\/pdf\/1010.4236.pdf Multitarget tracking using maximum likelihood\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":74417,"url":"http:\/\/bangla.sitestree.com\/?p=74417","url_meta":{"origin":17356,"position":1},"title":"Discuss: Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction","author":"Sayed","date":"April 27, 2022","format":false,"excerpt":"https:\/\/youtu.be\/6QI_yrsOgcc","rel":"","context":"In "From Youtube Channel"","block_context":{"text":"From Youtube Channel","link":"http:\/\/bangla.sitestree.com\/?cat=1952"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/6QI_yrsOgcc\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":14810,"url":"http:\/\/bangla.sitestree.com\/?p=14810","url_meta":{"origin":17356,"position":2},"title":"SQL Server (SSAS): Data Mining: Data Science: Data Analytics: Prediction: Neural Networks : Linear\/Logistics Regression","author":"Sayed","date":"June 15, 2019","format":false,"excerpt":"SQL Server Analysis Service: Data Mining Algorithms (Analysis Services - Data Mining) https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/data-mining-algorithms-analysis-services-data-mining?view=sql-server-2017 -- Microsoft Association Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-association-algorithm?view=sql-server-2017 -- Association Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/association-model-query-examples?view=sql-server-2017 -- Microsoft Clustering Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-clustering-algorithm?view=sql-server-2017 Clustering Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/clustering-model-query-examples?view=sql-server-2017 -- Microsoft Time Series Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-time-series-algorithm?view=sql-server-2017 --- Time Series Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/time-series-model-query-examples?view=sql-server-2017 --- Microsoft Neural\u2026","rel":"","context":"In "AI ML DS RL DL NN NLP Data Mining Optimization"","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":20250,"url":"http:\/\/bangla.sitestree.com\/?p=20250","url_meta":{"origin":17356,"position":3},"title":"On Machine Learning","author":"Sayed","date":"February 19, 2021","format":false,"excerpt":"FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance https:\/\/paperswithcode.com\/paper\/finrl-a-deep-reinforcement-learning-library OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications https:\/\/paperswithcode.com\/paper\/ov-2-slam-a-fully-online-and-versatile-visual Predicting with a Regression Equation https:\/\/opentextbc.ca\/introbusinessstatopenstax\/chapter\/predicting-with-a-regression-equation\/ Chapter 4. Regression and Prediction https:\/\/www.oreilly.com\/library\/view\/practical-statistics-for\/9781491952955\/ch04.html Loss and Loss Functions for Training Deep Learning Neural Networks https:\/\/machinelearningmastery.com\/loss-and-loss-functions-for-training-deep-learning-neural-networks\/\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":26386,"url":"http:\/\/bangla.sitestree.com\/?p=26386","url_meta":{"origin":17356,"position":4},"title":"On Machine Learning #Root","author":"Author-Check- Article-or-Video","date":"April 23, 2021","format":false,"excerpt":"FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance https:\/\/paperswithcode.com\/paper\/finrl-a-deep-reinforcement-learning-library OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications https:\/\/paperswithcode.com\/paper\/ov-2-slam-a-fully-online-and-versatile-visual Predicting with a Regression Equation https:\/\/opentextbc.ca\/introbusinessstatopenstax\/chapter\/predicting-with-a-regression-equation\/ Chapter 4. Regression and Prediction https:\/\/www.oreilly.com\/library\/view\/practical-statistics-for\/9781491952955\/ch04.html Loss and Loss Functions for Training Deep Learning Neural Networks https:\/\/machinelearningmastery.com\/loss-and-loss-functions-for-training-deep-learning-neural-networks\/\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16743,"url":"http:\/\/bangla.sitestree.com\/?p=16743","url_meta":{"origin":17356,"position":5},"title":"NLP : AI and ML","author":"Sayed","date":"February 6, 2020","format":false,"excerpt":"Feature Selection \" Filter Methods Wrapper Methods Embedded Methods Feature Selection Checklist Do you have domain knowledge? Are your features commensurate? Do you suspect interdependence of features? If \"Weka: \u201cFeature Selection to Improve Accuracy and Decrease Training Time\u201c. Scikit-Learn: \u201cFeature Selection in Python with Scikit-Learn\u201c. 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