{"id":2115,"date":"2026-08-10T08:53:54","date_gmt":"2026-08-10T08:53:54","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-tensorflow-2-0-practical-2022-1\/"},"modified":"2026-08-10T08:53:54","modified_gmt":"2026-08-10T08:53:54","slug":"udemy-tensorflow-2-0-practical-2022-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-tensorflow-2-0-practical-2022-1\/","title":{"rendered":"Udemy \u2013 TensorFlow 2.0 Practical 2022-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">TensorFlow 2.0 Practical course. The artificial intelligence (AI) revolution has arrived and TensorFlow 2.0 is finally here to make it much faster! TensorFlow 2.0 is Google\u2019s most powerful open source platform recently released for building and deploying AI models in action. Artificial intelligence technology is experiencing exponential growth and is widely used in healthcare, defense, banking, gaming, transportation and robotics industries. The purpose of this course is to provide practical knowledge to students in the field of construction, training, testing and deployment of artificial neural networks and deep learning models using TensorFlow 2.0 and Google Colab. This course provides students with hands-on hands-on experience in teaching artificial neural networks and convolutional neural networks using real-world datasets using TensorFlow 2.0 and Google Colab. This course covers several techniques in a hands-on, projects including but not limited to:<\/span><\/p>\n<div dir=\"ltr\" style=\"text-align: left\" data-purpose=\"safely-set-inner-html:description:description\">\n<p><span style=\"vertical-align: inherit\">(1) feed forward artificial neural networks to perform regression tasks such as sales\/revenue forecasting and house price forecasting;<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">(ii) development of artificial neural networks in the medical field to perform classification tasks such as diabetes diagnosis;<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">(3) training deep learning models to perform image classification tasks such as face recognition, fashion classification, and traffic sign classification.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">(4) Create artificial intelligence models to perform sentiment analysis and analyze customer reviews.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">(5) Visualize AI models and evaluate their performance using Tensorboard<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">(6) Implement AI models in practice using the Tensorflow 2.0 service<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">This course is aimed at students who want to gain a basic understanding of how to build and deploy models in Tensorflow 2.0. Basic knowledge of programming is recommended. However, these topics will be covered extensively during the introductory course lectures. Therefore, this course has no prerequisites and is open to any student who has basic knowledge of programming. Students enrolled in this course will master artificial intelligence and deep learning techniques and can directly apply these skills to solve challenging real-world problems using Google\u2019s new TensorFlow 2.0.<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">What you will learn in the TensorFlow 2.0 Practical course<\/span><\/h3>\n<div class=\"what-you-will-learn--content-spacing--6eP1j show-more-module--container--teP7C\" dir=\"ltr\" style=\"text-align: left\">\n<div class=\"show-more-module--content--Rw-xr show-more-module--with-gradient--f4HoJ\">\n<div>\n<ul class=\"ud-unstyled-list ud-block-list what-you-will-learn--objectives-list--qsvE2 what-you-will-learn--objectives-list-two-column-layout--ED4as\">\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Master the newly released TensorFlow 2.0 to build, train, test, and deploy artificial neural network (ANN) models.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Learn how to develop and train ANN models in Google\u2019s Colab while harnessing the power of GPUs and TPUs.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Run ANN models in practice using the TensorFlow 2.0 service.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Learn how to graph models and evaluate their performance during practice using Tensorboard.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Understand the theory and basic mathematics behind artificial neural networks and convolutional neural networks (CNN).<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Learn how to train network weights and biases and choose appropriate transfer functions.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Training artificial neural networks (ANN) using back propagation and gradient descent methods.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Optimizing the parameters of artificial neural networks such as the number of hidden layers and neurons to increase the performance of the network.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Use artificial neural networks to perform regression tasks such as housing price forecasting and sales\/revenue forecasting.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Evaluate the performance of trained ANN models for regression tasks using KPIs (Key Performance Indicators) such as Mean Absolute Error, Mean Squared Error, and Root Mean Squared Error, R-Squared, and Adjusted R-Squared.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Evaluate the performance of trained ANN models for classification tasks using KPIs such as accuracy, precision, and recall.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Use convolutional neural networks to classify images.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Examples of real and practical projects:<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #1: Training a simple ANN to convert Celsius to Fahrenheit<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #2 (Exercise): Training ANN Feedforward for Revenue\/Sales Forecasting<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #3: As a real estate agent, predict house prices using ANN (regression function).<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #4 (Exercise): As a business owner, predict bicycle usage (regression task)<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project No. 5: Development of artificial neural networks in the medical field to perform classification tasks such as diabetes diagnosis (classification task)<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #6: Create AI models to perform sentiment analysis and analyze online customer reviews.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project No. 7: Training LeNet deep learning models to perform traffic sign classification.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #8: Train CNN to perform fashion classification<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #9: Train a CNN to perform image classification using the Cifar-10 dataset<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Project #10: Implement deep learning image classification model using TF service<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul class=\"styles--audience__list----YbP\" dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Data scientists who want to apply their knowledge to real-world case studies<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Artificial intelligence developers<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Artificial intelligence researchers<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">TensorFlow 2.0 Practical course specifications<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/tensorflow-2-practical\/?couponCode=LETSLEARNNOWPP\" target=\"_blank\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/dr-ryan-ahmed\/\"><span style=\"vertical-align: inherit\">Dr. Ryan Ahmed<\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/superdatascience-team\/\"><span style=\"vertical-align: inherit\">SuperDataScience Team<\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/mitchell-bouchard\/\"><span style=\"vertical-align: inherit\">Mitchell Bouchard<\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/ligency-team\/\"><span style=\"vertical-align: inherit\">Ligency Team<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 11 hours and 44 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics on 12\/2023<\/span><\/h3>\n<h2 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-887638 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/02\/TensorFlow-2.0-Practical-1.png\" alt=\"TensorFlow 2.0 Practical\" width=\"884\" height=\"580\"><\/h2>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">TensorFlow 2.0 Practical course prerequisites<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">PC with internet connection<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-887639 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/02\/TensorFlow-2.0-Practical.png\" alt=\"TensorFlow 2.0 Practical\" width=\"867\" height=\"287\"><\/h2>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample video of the course<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-118967-1\"><video class=\"wp-video-shortcode\" id=\"video-118967-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/TensorFlow_20_Practical_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/TensorFlow_20_Practical_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/TensorFlow_20_Practical_Downloadly.ir.mp4?nocache=1786094671925\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/TensorFlow_20_Practical_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div dir=\"ltr\" style=\"text-align: left\">\n<h3><span style=\"vertical-align: inherit\">Installation guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite Player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">English subtitle<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_TensorFlow_20_Practical_2022-1.part1_Downloadly.ir.rar?nocache=1786094670\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_TensorFlow_20_Practical_2022-1.part2_Downloadly.ir.rar?nocache=1786094670\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_TensorFlow_20_Practical_2022-1.part3_Downloadly.ir.rar?nocache=1786094670\"><span style=\"vertical-align: inherit\">Download part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_TensorFlow_20_Practical_2022-1.part4_Downloadly.ir.rar?nocache=1786094670\"><span style=\"vertical-align: inherit\">Download part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_TensorFlow_20_Practical_2022-1.part5_Downloadly.ir.rar?nocache=1786094670\"><span style=\"vertical-align: inherit\">Download part 5 \u2013 292 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.2 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description TensorFlow 2.0 Practical course. 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