{"id":850,"date":"2020-12-02T16:52:22","date_gmt":"2020-12-02T15:52:22","guid":{"rendered":"http:\/\/naolink.com\/?page_id=850"},"modified":"2020-12-14T09:53:00","modified_gmt":"2020-12-14T08:53:00","slug":"neural-networks","status":"publish","type":"page","link":"https:\/\/naolink.com\/index.php\/neural-networks\/","title":{"rendered":"NEURAL NETWORKS"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1853\" height=\"16\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2017\/02\/banner2.png\" alt=\"\" class=\"wp-image-289\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong><span class=\"has-inline-color has-vivid-cyan-blue-color\">Neural Networks are at the core of the Deep Learning<\/span><\/strong><\/h3>\n\n\n\n<p>Several important types of ANN (Articial Neural Nets) that form the basis for most pre-trained models in Deep Learning:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Multilayer Perceptrons (<strong>MLP<\/strong>)<\/li><li>Feed-Forward Neural Nets (<strong>FFNN<\/strong>)<\/li><li>Convolution Neural Nets (<strong>CNN<\/strong>)<\/li><li>Recurrent Neural Nets (<strong>RNN<\/strong>)<\/li><li>Residual Neural Nets (<strong>RESNET<\/strong>)<\/li><li><strong>Hybrid Net Models<\/strong><\/li><li>Restricted Boltzmann machine (<strong>RBM<\/strong>)<\/li><li>Deep Belief (<strong>DBN<\/strong>)<\/li><li>and Others &#8230;<\/li><\/ul>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/neurone_arbo.jpg\" alt=\"\" class=\"wp-image-1043\" width=\"473\" height=\"400\"\/><\/figure><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"has-inline-color has-vivid-cyan-blue-color\"><strong>Training &amp; Learning Phase<\/strong><\/span><\/h3>\n\n\n\n<p>All the ANN need to be trained to become efficient. <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Select the data<\/strong>: Split data into three groups as training, validation and test data.<\/li><li><strong>Model the data<\/strong>: use the training data to build the model using relevant features<\/li><li><strong>Validate the data<\/strong>: Assess the model with your validation data<\/li><li><strong>Tune Model<\/strong>: Improve the model with more data different features and adjustments of parameters<\/li><li><strong>Use the Model<\/strong>: make predictions on the model with new data<\/li><li><strong>Test the Model<\/strong>: check performances of the validated model with test data.<\/li><\/ul>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/DATA_process.jpg\" alt=\"\" class=\"wp-image-1033\" width=\"569\" height=\"319\"\/><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong><span class=\"has-inline-color has-vivid-cyan-blue-color\">Deep Learning Frameworks<\/span><\/strong><\/h3>\n\n\n\n<p><\/p>\n\n\n\n<p>The use of <strong>open tools &amp; workflows<\/strong> to enhance automation and reuse<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/DATA_chain_IA.jpg\" alt=\"\" class=\"wp-image-1031\" width=\"610\" height=\"104\"\/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-left\">The open standard for machine learning interoperability<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/TensorFlow.png\" alt=\"\" class=\"wp-image-1015\" width=\"157\" height=\"94\"\/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/MXNET.jpg\" alt=\"\" class=\"wp-image-1018\" width=\"177\" height=\"92\"\/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/Pytorch.png\" alt=\"\" class=\"wp-image-1019\" width=\"167\" height=\"98\"\/><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Open Neural Network Exchange<\/strong> (ONNX) format files to exchange between differents platforms. A common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/ONNX_logo.png\" alt=\"\" class=\"wp-image-1014\" width=\"148\" height=\"55\"\/><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The best-known programming languages<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/naolink.com\/wp-content\/uploads\/2020\/12\/Python-logo.png\" alt=\"\" class=\"wp-image-1012\" width=\"145\" height=\"145\"\/><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neural Networks are at the core of the Deep Learning Several important types of ANN (Articial Neural Nets) that form the basis for most pre-trained models in Deep Learning: Multilayer Perceptrons (MLP) Feed-Forward Neural Nets (FFNN) Convolution Neural Nets (CNN) Recurrent Neural Nets (RNN) Residual Neural Nets (RESNET) Hybrid Net Models Restricted Boltzmann machine (RBM)<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-850","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/pages\/850","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/comments?post=850"}],"version-history":[{"count":28,"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/pages\/850\/revisions"}],"predecessor-version":[{"id":1124,"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/pages\/850\/revisions\/1124"}],"wp:attachment":[{"href":"https:\/\/naolink.com\/index.php\/wp-json\/wp\/v2\/media?parent=850"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}