{"id":796,"date":"2017-03-10T08:41:26","date_gmt":"2017-03-10T08:41:26","guid":{"rendered":"http:\/\/ail.tokyo\/?page_id=796"},"modified":"2017-09-20T18:04:06","modified_gmt":"2017-09-20T09:04:06","slug":"aai-ist2017","status":"publish","type":"page","link":"https:\/\/deeplearning.jp\/en\/lectures_old\/aai-ist2017\/","title":{"rendered":"AAI-IST2017"},"content":{"rendered":"<p><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1500536870020\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_text_column wpb_content_element\"><div class=\"wpb_wrapper\"><h2 style=\"text-align: center;\">Frontier Artificial Intelligence 2017<\/h2>\n<p>We provide an advanced programme ; starting from basics of MLP and neural network, designed to get<br \/>\n you learning core technologies of Deep Learning and the latest topics step by step. \u00a0Based on the policy of &#8220;Practice makes perfect&#8221;, we aim to get you acquire the technique through exercises. Based on the idea \u201cPractice makes perfect\u201d, we aim to let you acquire the technique through the exercise. In exercise, you can concentrate on the point of the lecture by using our specific development platform \u201c<a href=\"http:\/\/ilect.net\">ilect.net<\/a>\u201d : enables you to code in Python with GPU on a browser\uff08the detail of ilect is <a href=\"http:\/\/f28.207.myftpupload.com\/what-is-ilect\/\">here<\/a>\uff09.<\/p>\n<ul>\n<li>Date\uff1a Every\u3000Tuesday fourth class\uff08from 2\uff1a55 pm to 4\uff1a40 pm\uff09<\/li>\n<li>Place\uff1aFaculty of Engineering Building 2, Second floor lecture room 221, The University of Tokyo<\/li>\n<li>Target\uff1aGraduate students of the University of Tokyo\n<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><a href=\"http:\/\/f28.207.myftpupload.com\/registration-aai-ist2017s\/\">application<\/a><\/p>\n<\/div><\/div><div class=\"wpb_text_column wpb_content_element\"><div class=\"wpb_wrapper\"><p><strong>\u25cfProgram syllabus<\/strong><\/p>\n<p>\uff08The contents are being adjusted, may be changed.\uff09<\/p>\n<table class=\"table table-striped\">\n<thead>\n<tr>\n<th><\/th>\n<th>date<\/th>\n<th>title<\/th>\n<th>contents<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>2017\/4\/11<\/td>\n<td>Introduction<\/td>\n<td>About Deep Learning\/a history of AI technology, impacts on society\/perspective of the lecture and precautions\/ lecturers&#8217; introduction<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>2017\/4\/18<\/td>\n<td>Machine Learning 1<\/td>\n<td>Python and Linear Algebra\uff0cmatrix\u30fbtensor\uff0cbridge of mathematical expression and implementation<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>2017\/4\/25<\/td>\n<td>Machine Learning 2<\/td>\n<td>k-NN, Logistic Regression, Softmax, train\/dev\/test dataset, learning process<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>2017\/5\/2<\/td>\n<td>Perceptron + Feed Forward Network, Gradient Descent<\/td>\n<td>Gradient Descent, MLP, Logistic Regression, Softmax<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>2017\/5\/9<\/td>\n<td>Gradient Descent, Stochastic Gradient Descent, Optimizers<\/td>\n<td>TensorFlow basics\u3001various optimizers\u3001initializing the weight etc&#8230;<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>2017\/5\/16<\/td>\n<td>Autoencoders<\/td>\n<td>Deep Learning\u3001Feature Extraction\u3001Outline of Autoencoder\u3001dA, SdA, Sparse Coding, GPU<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>2017\/5\/23<\/td>\n<td>Convolutional Neural Networks(CNN)<\/td>\n<td>Basic CNN, Convolution, Pooling<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>2017\/6\/6<\/td>\n<td>Convolutional Neural Networks(CNN) 2<\/td>\n<td>Image Processing, Data Handling, Data Augmentation\u3001Batch Normalization, visualization, the latest trends<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>2017\/6\/13<\/td>\n<td>RNN Basics<\/td>\n<td>Sequence data, RNN<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>2017\/6\/20<\/td>\n<td>RNN and NLP<\/td>\n<td>Embedding, Projection, Word2vec, sequence-to-sequence<\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>2017\/6\/27<\/td>\n<td>RNN, NLP, Image Processing<\/td>\n<td>Attention, Image caption<\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>2017\/7\/4<\/td>\n<td>Summary and Advanced Topics<\/td>\n<td>Advanced Topics<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":14,"featured_media":0,"parent":552,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[],"class_list":["post-796","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"Frontier Artificial Intelligence 2017 We provide an adv\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/deeplearning.jp\/en\/lectures_old\/aai-ist2017\/\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.4\" \/>\n\n\t\t<!-- Google tag (gtag.js) 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