{"id":17353,"date":"2020-08-20T19:33:35","date_gmt":"2020-08-20T23:33:35","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/misc-motion-learning-and-prediction-target-tracking-and-related\/"},"modified":"2020-08-20T19:33:35","modified_gmt":"2020-08-20T23:33:35","slug":"misc-motion-learning-and-prediction-target-tracking-and-related","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=17353","title":{"rendered":"Misc Motion Learning and Prediction, Target Tracking, and related"},"content":{"rendered":"<h1>An Introduction to Graph Neural Networks: Models and Applications<\/h1>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=zCEYiCxrL_0\">https:\/\/www.youtube.com\/watch?v=zCEYiCxrL_0<\/a><\/p>\n<h1>Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation<\/h1>\n<p><a href=\"https:\/\/machinelearningmastery.com\/encoder-decoder-recurrent-neural-network-models-neural-machine-translation\/\">https:\/\/machinelearningmastery.com\/encoder-decoder-recurrent-neural-network-models-neural-machine-translation\/<\/a><\/p>\n<p>Illustrated Guide to LSTM\u2019s and GRU\u2019s: A step by step explanation<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21\">https:\/\/towardsdatascience.com\/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21<\/a><\/p>\n<p>RNN\/LSTM\/GRU<\/p>\n<p><a href=\"https:\/\/www.cs.toronto.edu\/~tingwuwang\/rnn_tutorial.pdf\">https:\/\/www.cs.toronto.edu\/~tingwuwang\/rnn_tutorial.pdf<\/a><\/p>\n<p>Maximum Likelihood Joint Tracking and Association in a Strong Clutter<\/p>\n<p><a href=\"https:\/\/arxiv.org\/pdf\/1010.4236.pdf\">https:\/\/arxiv.org\/pdf\/1010.4236.pdf<\/a><\/p>\n<p>Multitarget tracking using maximum likelihood techniques<\/p>\n<p><a href=\"https:\/\/opencommons.uconn.edu\/dissertations\/AAI3265759\/\">https:\/\/opencommons.uconn.edu\/dissertations\/AAI3265759\/<\/a><\/p>\n<p>Maximum Likelihood Joint Tracking and Association in Strong Clutter<\/p>\n<p><a href=\"https:\/\/journals.sagepub.com\/doi\/full\/10.5772\/52859\">https:\/\/journals.sagepub.com\/doi\/full\/10.5772\/52859<\/a><\/p>\n<p>Multiple target tracking using maximum likelihood principle<\/p>\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/398728\">https:\/\/ieeexplore.ieee.org\/document\/398728<\/a><\/p>\n<p>Multiple Target Tracking Using Maximum Likelihood Probabilistic Data Association<\/p>\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/4161445\">https:\/\/ieeexplore.ieee.org\/document\/4161445<\/a><\/p>\n<p>Maximum Likelihood Joint Tracking and Association in Strong Clutter<\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/publication\/288139436_Maximum_Likelihood_Joint_Tracking_and_Association_in_Strong_Clutter\">https:\/\/www.researchgate.net\/publication\/288139436_Maximum_Likelihood_Joint_Tracking_and_Association_in_Strong_Clutter<\/a><\/p>\n<p>Maximum likelihood method for probabilistic multihypothesis tracking<\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/publication\/252858795_Maximum_likelihood_method_for_probabilistic_multihypothesis_tracking\">https:\/\/www.researchgate.net\/publication\/252858795_Maximum_likelihood_method_for_probabilistic_multihypothesis_tracking<\/a><\/p>\n<p>Maximum likelihood method for probabilistic multihypothesis tracking<\/p>\n<p><a href=\"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/2235\/0000\/Maximum-likelihood-method-for-probabilistic-multihypothesis-tracking\/10.1117\/12.179066.short?SSO=1\">https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/2235\/0000\/Maximum-likelihood-method-for-probabilistic-multihypothesis-tracking\/10.1117\/12.179066.short?SSO=1<\/a><\/p>\n<p>A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes<\/p>\n<p><a href=\"https:\/\/www.mitre.org\/sites\/default\/files\/pdf\/05_0211.pdf\">https:\/\/www.mitre.org\/sites\/default\/files\/pdf\/05_0211.pdf<\/a><\/p>\n<p>*** . *** *** . *** . *** . ***<\/p>\n<p><em><strong><em><strong>Training Courses: <\/strong><a href=\"http:\/\/training.sitestree.com\/\">http:\/\/Training.SitesTree.com<\/a> <\/em><br \/>\nBlog<\/strong>: <a href=\"http:\/\/bangla.salearningschool.com\/\">http:\/\/Bangla.SaLearningSchool.com<\/a>, <a href=\"http:\/\/sitestree.com\">http:\/\/SitesTree.com<\/a><\/em><br \/>\n<em><strong>8112223 Canada Inc\/Justetc<\/strong>: <a href=\"http:\/\/JustEtc.net\">http:\/\/JustEtc.net<\/a><\/em><br \/>\n<em>Youtube: <\/em><a href=\"https:\/\/www.youtube.com\/channel\/UCHrtq0pV8mEuTLGd2-Lp9ig\/playlists\">https:\/\/www.youtube.com\/channel\/UCHrtq0pV8mEuTLGd2-Lp9ig\/playlists<\/a><br \/>\n<em><strong>Medium: <\/strong><\/em><a href=\"https:\/\/medium.com\/@SayedAhmedCanada\">https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n<p><em><strong>Online Product Database: <\/strong><\/em><a href=\"http:\/\/www.shopforsoul.com\/\">http:\/\/www.shopforsoul.com\/<\/a> (Not For Retail Sales, Not actively Managed)<br \/>\n<em><\/em><br \/>\n<em><strong>Sayed Ahmed<\/strong><br \/>\n<\/em><br \/>\n<em><strong>BSc. Eng. in Comp. Sc. &amp; Eng. (BUET)<\/strong><\/em><br \/>\n<em><strong>MSc. in Comp. Sc. (U of Manitoba, Canada)<\/strong><\/em><br \/>\n<em><strong>MSc. in Data Science and Analytics (Ryerson University, Canada)<\/strong><\/em><br \/>\n<em><strong>Linkedin<\/strong>: <a href=\"https:\/\/ca.linkedin.com\/in\/sayedjustetc\">https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a><br \/>\n<\/em><\/p>\n<p><em><strong>Facebook Groups\/Forums to discuss (Q &amp; A): <\/strong><\/em><br \/>\n<a href=\"https:\/\/www.facebook.com\/salearningschool\/?ref=your_pages\">https:\/\/www.facebook.com\/salearningschool<\/a><\/p>\n<p><a href=\"https:\/\/www.facebook.com\/banglasalearningschool\">https:\/\/www.facebook.com\/banglasalearningschool<\/a><br \/>\n<a href=\"https:\/\/www.facebook.com\/justetcsocial\">https:\/\/www.facebook.com\/justetcsocial<\/a><\/p>\n<p><em>Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. <\/em><a href=\"http:\/\/sitestree.com\/training\/\">http:\/\/sitestree.com\/training\/<\/a><\/p>\n<p><strong>Join, Discuss, and Thrive:<\/strong><br \/>\nFinance: <a href=\"https:\/\/www.facebook.com\/groups\/1792339521056034\">https:\/\/www.facebook.com\/groups\/1792339521056034<\/a><\/p>\n<p>Bangladesh and Canada: <a href=\"https:\/\/www.facebook.com\/groups\/398414183875009\">https:\/\/www.facebook.com\/groups\/398414183875009<\/a><\/p>\n<p>Bangladesh: IT &amp; Eng: Canada: <a href=\"https:\/\/www.facebook.com\/groups\/480297675634630\">https:\/\/www.facebook.com\/groups\/480297675634630<\/a><\/p>\n<p>BUETians in Ontario: <a href=\"https:\/\/www.facebook.com\/groups\/371982239854027\">https:\/\/www.facebook.com\/groups\/371982239854027<\/a><\/p>\n<p>Worldwide IT: <a href=\"https:\/\/www.facebook.com\/groups\/28362061867\">https:\/\/www.facebook.com\/groups\/28362061867<\/a><\/p>\n<p>JustEtc: <a href=\"https:\/\/www.facebook.com\/JustETC-Technologies-Inc-289864738261\">https:\/\/www.facebook.com\/JustETC-Technologies-Inc-289864738261<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 techniques https:\/\/opencommons.uconn.edu\/dissertations\/AAI3265759\/ Maximum Likelihood Joint &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"http:\/\/bangla.sitestree.com\/?p=17353\">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-17353","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":14735,"url":"http:\/\/bangla.sitestree.com\/?p=14735","url_meta":{"origin":17353,"position":0},"title":"Sequence Classification using Deep Learning","author":"Sayed","date":"April 21, 2019","format":false,"excerpt":"\"Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection....\" Ref: Theory: https:\/\/www.cs.sfu.ca\/~jpei\/publications\/Sequence%20Classification.pdf Sequence Classification in Keras\/Python, LSTM, GRU, BIDirectional LSTM https:\/\/machinelearningmastery.com\/develop-bidirectional-lstm-sequence-classification-python-keras\/ Sequence Classification Using Deep Learning \"This example uses the Japanese Vowels data set as described in [1] and\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","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":24953,"url":"http:\/\/bangla.sitestree.com\/?p=24953","url_meta":{"origin":17353,"position":1},"title":"Sequence Classification using Deep Learning #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"\"Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection....\" Ref: Theory: https:\/\/www.cs.sfu.ca\/~jpei\/publications\/Sequence%20Classification.pdf Sequence Classification in Keras\/Python, LSTM, GRU, BIDirectional LSTM https:\/\/machinelearningmastery.com\/develop-bidirectional-lstm-sequence-classification-python-keras\/ Sequence Classification Using Deep Learning \"This example uses the Japanese Vowels data set as described in [1] and\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24957,"url":"http:\/\/bangla.sitestree.com\/?p=24957","url_meta":{"origin":17353,"position":2},"title":"On Text Classification based on Deep Learning\/Neural Networks #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"On Text Classification based on Deep Learning\/Neural Networks Text Classification Using LSTM and visualize Word Embeddings: Part-1 https:\/\/medium.com\/@sabber\/classifying-yelp-review-comments-using-lstm-and-word-embeddings-part-1-eb2275e4066b Different approaches of Text Classification https:\/\/www.kdnuggets.com\/2018\/07\/text-classification-lstm-cnn-pre-trained-word-vectors.html How to do text classification with CNNs, TensorFlow and word embedding https:\/\/towardsdatascience.com\/how-to-do-text-classification-using-tensorflow-word-embeddings-and-cnn-edae13b3e575 Classification of Customer Complaints using Tensorflow: Text Classification with Word Embeddings https:\/\/medium.com\/@opalkabert\/classification-of-customer-complaints-using-tensorflow-text-classification-with-word-embeddings-e87952b5147c An analysis\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14739,"url":"http:\/\/bangla.sitestree.com\/?p=14739","url_meta":{"origin":17353,"position":3},"title":"On Text Classification based on Deep Learning\/Neural Networks","author":"Sayed","date":"April 22, 2019","format":false,"excerpt":"On Text Classification based on Deep Learning\/Neural Networks Text Classification Using LSTM and visualize Word Embeddings: Part-1 https:\/\/medium.com\/@sabber\/classifying-yelp-review-comments-using-lstm-and-word-embeddings-part-1-eb2275e4066b Different approaches of Text Classification https:\/\/www.kdnuggets.com\/2018\/07\/text-classification-lstm-cnn-pre-trained-word-vectors.html How to do text classification with CNNs, TensorFlow and word embedding https:\/\/towardsdatascience.com\/how-to-do-text-classification-using-tensorflow-word-embeddings-and-cnn-edae13b3e575 Classification of Customer Complaints using Tensorflow: Text Classification with Word Embeddings https:\/\/medium.com\/@opalkabert\/classification-of-customer-complaints-using-tensorflow-text-classification-with-word-embeddings-e87952b5147c An analysis\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","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":20251,"url":"http:\/\/bangla.sitestree.com\/?p=20251","url_meta":{"origin":17353,"position":4},"title":"Deep Learning: Neural Network: Resources","author":"Sayed","date":"February 19, 2021","format":false,"excerpt":"How To Build Multi-Layer Perceptron Neural Network Models with Keras https:\/\/machinelearningmastery.com\/build-multi-layer-perceptron-neural-network-models-keras\/ The Sequential model https:\/\/keras.io\/guides\/sequential_model\/ Serialization and saving https:\/\/keras.io\/guides\/serialization_and_saving\/ Training & evaluation with the built-in methods https:\/\/keras.io\/guides\/training_with_built_in_methods\/ Multi-GPU and distributed training https:\/\/keras.io\/guides\/distributed_training\/ Multi-Layer perceptron using Tensorflow https:\/\/towardsdatascience.com\/multi-layer-perceptron-using-tensorflow-9f3e218a4809 Adam https:\/\/keras.io\/api\/optimizers\/adam\/ Optimizers https:\/\/keras.io\/api\/optimizers\/ Keras Model https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/keras\/Model Why are deep neural networks hard\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","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":14743,"url":"http:\/\/bangla.sitestree.com\/?p=14743","url_meta":{"origin":17353,"position":5},"title":"Learn Deep Learning by Examples from the book : Deep Learning with Python","author":"Sayed","date":"April 27, 2019","format":false,"excerpt":"Reference: https:\/\/github.com\/fchollet\/deep-learning-with-python-notebooks Jupyter notebooks for the code samples of the book \"Deep Learning with Python\" Book Link: https:\/\/www.manning.com\/books\/deep-learning-with-python?a_aid=keras&a_bid=76564dff You might want to search Google if the publisher\/author published the book for free online viewing. Sometimes authors do that. Type Name Latest commit message Commit time 2.1-a-first-look-at-a-neural-network.ipynb Add notebooks 2 years\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","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":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/17353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17353"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/17353\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17353"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}