{"id":928,"date":"2020-03-21T12:45:02","date_gmt":"2020-03-21T12:45:02","guid":{"rendered":"https:\/\/dcapps.tech\/freeudemy\/?p=928"},"modified":"2020-03-21T12:45:08","modified_gmt":"2020-03-21T12:45:08","slug":"100-off-deep-learning-with-tensorflow-2-0-2020","status":"publish","type":"post","link":"https:\/\/dc-apps.net\/freeudemy\/100-off-deep-learning-with-tensorflow-2-0-2020\/","title":{"rendered":"[100% Off] Deep Learning with TensorFlow 2.0 [2020]"},"content":{"rendered":"<div id=\"dcapp-897904531\" class=\"dcapp-before-content_2 dcapp-entity-placement\"><a href=\"https:\/\/t.me\/freeudmeyc\" aria-label=\"Join our Telegram Channel\"><img loading=\"lazy\" src=\"https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel.png\" alt=\"Join our Telegram Channel\"  srcset=\"https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel.png 700w, https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel-300x71.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" width=\"700\" height=\"165\"  style=\"display: inline-block;\" \/><\/a><\/div><div id=\"dcapp-1606470703\" class=\"dcapp-before-content dcapp-entity-placement\" style=\"margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"9119542394\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>\n<p><strong>Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case <\/strong><\/p>\n\n\n\n<!--more-->\n\n\n\n<p>\n\n\n\n\nRequirements\n\n\n<\/p>\n\n\n\n<ul><li>Some basic Python programming skills<\/li><li>You\u2019ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.<\/li><li>All software and data used in the course are free.<\/li><\/ul>\n\n\n\n<p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDescription\n\n\n<\/p>\n\n\n\n<p><strong>Data scientists, machine learning engineers, and AI \nresearchers all have their own skillsets. But what is that one special \nthing they have in common?<\/strong><\/p>\n\n\n\n<p>They are all masters of <strong><em>deep learning<\/em><\/strong><em>. <\/em><\/p><div id=\"dcapp-272699721\" class=\"dcapp-content dcapp-entity-placement\" style=\"margin-top: 5px;margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"3439662696\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>\n\n\n\n<p>We\n often hear about AI, or self-driving cars, or the \u2018algorithmic magic\u2019 \nat Google, Facebook, and Amazon. But it is not magic &#8211; it is deep \nlearning. And more specifically, it is usually <strong>deep neural networks<\/strong> \u2013 the one algorithm to rule them all.<\/p>\n\n\n\n<p><strong>Cool, that sounds like a really important skill; how do I become a Master of Deep Learning?<\/strong><\/p>\n\n\n\n<p>There are two routes you can take: <\/p>\n\n\n\n<p>The\n unguided route \u2013 This route will get you where you want to go, \neventually, but expect to get lost a few times. If you are looking at \nthis course you\u2019ve maybe been there. <\/p>\n\n\n\n<p>The 365 route \u2013 Consider our\n route as the guided tour. We will take you to all the places you need, \nusing the paths only the most experienced tour guides know about. We \nhave extra knowledge you won\u2019t get from reading those information boards\n and we give you this knowledge in fun and easy-to-digest methods to \nmake sure it really sticks.<\/p>\n\n\n\n<p><strong>Clearly, you can talk the \ntalk, but can you walk the walk? \u2013 What exactly will I get out of this \ncourse that I can\u2019t get anywhere else?<\/strong><\/p>\n\n\n\n<p>Good question! We \nknow how interesting Deep Learning is and we love it! However, we know \nthat the goal here is career progression, that\u2019s why our course is <strong>business focused<\/strong> and gives you real world practice on how to use Deep Learning to optimize business performance.<\/p>\n\n\n\n<p>We\n don\u2019t just scratch the surface either \u2013 It\u2019s not called \u2018Skin-Deep\u2019 \nLearning after all. We fully explain the theory from the mathematics \nbehind the algorithms to the state-of-the-art initialization methods, \nplus so much more.<\/p>\n\n\n\n<p>Theory is no good without putting it into \npractice, is it? That\u2019s why we give you plenty of opportunities to put \nthis theory to use. Implement cutting edge optimizations, get hands on \nwith TensorFlow and even build your very own algorithm and put it \nthrough training!<\/p>\n\n\n\n<p>Wow, that\u2019s going to look great on your resume!<\/p>\n\n\n\n<p>Speaking\n of resumes, you also get a certificate upon completion which employers \ncan verify that you have successfully finished a prestigious 365 Careers\n course \u2013 and one of our best at that!<\/p>\n\n\n\n<p><strong>Now, I can see \nyou\u2019re bragging a little, but I admit you have peaked my interest. What \nelse does your course offer that will make my resume shine?<\/strong><\/p>\n\n\n\n<p>Trust\n us, after this course you\u2019ll be able to fill your resume with skills \nand have plenty left over to show off at the interview.<\/p>\n\n\n\n<ul><li>Of\n course, you\u2019ll get fully acquainted with Google\u2019 TensorFlow and NumPy, \ntwo tools essential for creating and understanding Deep Learning \nalgorithms.<\/li><li>Explore layers, their building blocks and activations \u2013 sigmoid, tanh, ReLu, softmax, etc.<\/li><li>Understand the backpropagation process, intuitively and mathematically.<\/li><li>You\u2019ll be able to spot and prevent overfitting \u2013 one of the biggest issues in machine and deep learning<\/li><li>Get to know the state-of-the-art initialization methods. Don\u2019t know what initialization is? We explain that, too<\/li><li>Learn how to build deep neural networks using real data, implemented by real companies in the real world. <strong>TEMPLATES included!<\/strong><\/li><li>Also,\n I don\u2019t know if we\u2019ve mentioned this, but you will have created your \nvery own Deep Learning Algorithm after only 1 hour of the course.<\/li><li>It\u2019s this hands-on experience that will really make your resume stand out<\/li><\/ul>\n\n\n\n<p><strong>This all sounds great, but I am a little overwhelmed, I\u2019m afraid I may not have enough experience.<\/strong><\/p>\n\n\n\n<p>We\n admit, you will need at least a little understanding of Python \nprogramming but nothing to worry about. We start with the basics and \ntake you step by step toward building your very first (or second, or \nthird etc.) Deep Learning algorithm \u2013 we program everything in Python \nand explain each line of code.<\/p>\n\n\n\n<p>We do this early on and it will give you the confidence to carry on to the more complex topics we cover.<\/p>\n\n\n\n<p>All\n the sophisticated concepts we teach are explained intuitively. Our \nbeautifully animated videos and step by step approach ensures the course\n is a fun and engaging experience for all levels.<\/p>\n\n\n\n<p>We want everyone\n to get the most out of our course, and the best way to do that is to \nkeep our students motivated. So, we worked hard to ensure that students \nwith varying skills are challenged without being overwhelmed. Each \nlecture builds upon the last and practical exercises mean that you can \npractice what you\u2019ve learned before moving on to the next step. <\/p>\n\n\n\n<p>And\n of course, we are available to answer any queries you have. In fact, we\n aim to answer any and all question within 1 business day. We don\u2019t just\n chuck you in the pool then head to the bar and let you fend for \nyourself. <\/p>\n\n\n\n<p>Remember, we don\u2019t just want you to enrol \u2013 we want you to complete the course and become a Master of Deep Learning.<\/p>\n\n\n\n<p><strong>OK,\n awesome! I feel much better about my level of experience now, but we \nhaven\u2019t discussed yours! How do I know you can teach me to become a \nMaster of Deep Learning?<\/strong><\/p>\n\n\n\n<p>That\u2019s an understandable worry, but it\u2019s one we have no problem removing.<\/p>\n\n\n\n<p>We\n are 365 Careers and we\u2019ve been creating online courses for ages. We \nhave over 220,000 students and enjoy high ratings for all our Udemy \ncourses. We are a team of experts who are all, at heart, teachers. We \nbelieve knowledge should be shared and not just through boring text \nbooks but in engaging and fun ways.<\/p>\n\n\n\n<p>We are well aware how \ndifficult it is to build your knowledge and skills in the data science \nfield, it\u2019s so new and has grown so fast that the education sector has \nstruggled to keep up and offer any substantial methods of teaching these\n topic areas. We wanted to change things \u2013 to rock the boat \u2013 so we \ndeveloped our unique teaching style, one that countless students have \nenjoyed and thrived with.<\/p>\n\n\n\n<p>And between us, we think this course is \none of our favourites, so if this is your first time with us, you\u2019re in \nfor a treat. If it\u2019s not and you\u2019ve taken one of our courses before, \nthen, you\u2019re still in for a treat!<\/p>\n\n\n\n<p><strong>I\u2019ve been hurt before though, how can I be sure you won\u2019t let me down?<\/strong><\/p>\n\n\n\n<p>Easy,\n with Udemy\u2019s 30-day money back guarantee. We strive for the best and \nbelieve that our courses are the best out there. But you know what, \neveryone is different, and we understand that. So, we have no problem \noffering this guarantee, we want students who will complete and get the \nmost out of this course. If you are one of the few who finds this course\n not what you wanted or expected then, get your money back. No \nquestions, no risk, no problem.<\/p>\n\n\n\n<p><strong>Great, that takes a load of my shoulders. What next?<\/strong><\/p>\n\n\n\n<p>Click  on the \u2018Buy now\u2019 button and take that first step toward a satisfying  data science career and becoming a Master of Deep Learning. <\/p>\n\n\n\n<p>Who this course is for: <\/p>\n\n\n\n<ul><li>Aspiring data scientists<\/li><li>People interested in Machine Learning, Deep Learning, Business, and Artificial Intelligence,<\/li><li>Anyone who wants to learn how to code and build machine and deep learning algorithms from scratch<\/li><\/ul>\n\n\n\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background\" href=\"https:\/\/www.udemy.com\/course\/machine-learning-with-tensorflow-for-business-intelligence\/?couponCode=91518E9182AE30BFD323\" style=\"background-color:#900000;border-radius:29px\" target=\"_blank\" rel=\"noreferrer noopener\">Get the course<\/a><\/div>\n<div id=\"dcapp-688665723\" class=\"dcapp-after-content dcapp-entity-placement\" style=\"margin-top: 5px;margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"1642816558\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case<\/p>\n","protected":false},"author":1,"featured_media":929,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1],"tags":[524,57,37,525,64],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/928"}],"collection":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/comments?post=928"}],"version-history":[{"count":0,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/928\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media\/929"}],"wp:attachment":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media?parent=928"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/categories?post=928"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/tags?post=928"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}