{"id":717,"date":"2018-07-10T11:31:42","date_gmt":"2018-07-10T09:31:42","guid":{"rendered":"http:\/\/www.pewe.sk\/datalys\/2018\/07\/10\/deep-learning-specialization\/"},"modified":"2018-07-10T16:03:43","modified_gmt":"2018-07-10T14:03:43","slug":"deep-learning-specialization","status":"publish","type":"post","link":"https:\/\/www.pewe.sk\/datalys\/2018\/07\/10\/deep-learning-specialization\/","title":{"rendered":"Deep Learning Specialization"},"content":{"rendered":"<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p>Deep learning became very popular research area of machine learning in recent years and is used in many research areas like natural language processing, computer vision etc.<\/p>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p><a href=\"https:\/\/www.coursera.org\/specializations\/deep-learning\">Deep learning specialization<\/a> at Coursera offers comprehensive introduction to this area by Andrew Ng. This specialization is divided into 16 weeks and 5 courses and should completely cover basics of deep learning. Each course consist of many videos and also every week ends with test and assignments.<\/p>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p>First course of this specialization is focused on basics of neural networks and deep learning. It covers basic steps like forward and backward propagation and hyperparameters. The second course tries to explain role of hyperparameters and how to tone them to achieve better performance of neural network. Third course of deep learning specialization is in form of case studies and tries to teach how to identify and understand problems in deep learning. The last two courses are focused on specific area of neural networks: convolutional and sequence models. Course of convolutional neural networks offers comprehensive introduction while many its aspects are described well enough. In sequence models, we can learn differences between types of sequence models and also learn about tasks where sequence models are used.<\/p>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p>I consider this Deep Learning Specialization as very useful and recommend it to beginners in area of neural networks and deep learning. I can be also useful for advanced users but it also covers absolute basics what can be exhausting.<\/p>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p>Courses in Deep learning specialization:<\/p>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<ul>\n<li>Neural Networks and Deep Learning<\/li>\n<\/ul>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<ul>\n<li>Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization<\/li>\n<\/ul>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<ul>\n<li>Structuring Machine Learning Projects<\/li>\n<\/ul>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<ul>\n<li>Convolutional Neural Networks<\/li>\n<\/ul>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<ul>\n<li>Sequence Models<\/li>\n<\/ul>\n<\/div>\n<div id=\"x_divtagdefaultwrapper\" dir=\"ltr\">\n<p>Ja hodnot\u00edm cel\u00fa \u0161pecializ\u00e1ciu pozit\u00edvne, aj ke\u010f tro\u0161ku ma sklamalo spracovanie pr\u00e1ve sekven\u010dn\u00fdch modelov, ktor\u00e9 s\u00fa pre m\u0148a najd\u00f4le\u017eitej\u0161ie a boli pokryt\u00e9 dos\u0165 povrchne, pri\u010dom v\u00e4\u010d\u0161inu som u\u017e vedel. Celkovo t\u00fa \u0161pecializ\u00e1ciu ale hodnot\u00edm pozit\u00edvne. Kurzy s\u00fa vhodn\u00e9 pre najm\u00e4\u00a0za\u010diato\u010dn\u00edkov, \u010diasto\u010dne pre mierne pokro\u010dil\u00fdch. Pre pokro\u010dilej\u0161\u00edch \u013eud\u00ed je vhodn\u00fdch iba m\u00e1lo \u010dast\u00ed, ke\u010f\u017ee v\u00e4\u010d\u0161inu vec\u00ed u\u017e ovl\u00e1daj\u00fa.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Deep learning became very popular research area of machine learning in recent years and is used in many research areas like natural language [&hellip;]<\/p>\n","protected":false},"author":97,"featured_media":721,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/posts\/717"}],"collection":[{"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/users\/97"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/comments?post=717"}],"version-history":[{"count":1,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/posts\/717\/revisions"}],"predecessor-version":[{"id":719,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/posts\/717\/revisions\/719"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/media\/721"}],"wp:attachment":[{"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/media?parent=717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/categories?post=717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pewe.sk\/datalys\/wp-json\/wp\/v2\/tags?post=717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}