<div dir="ltr"><span style="text-decoration-style:initial;text-decoration-color:initial;font-size:small;float:none;display:inline">Dear ChennaiPy,</span><div style="text-decoration-style:initial;text-decoration-color:initial;font-size:small"><br></div><div style="text-decoration-style:initial;text-decoration-color:initial;font-size:small">Here is a great news for you! Analytics Vidhya has recently launched the best course on<span style="font-family:Arial,Helvetica,sans-serif,sans-serif;color:rgb(0,0,0)"> </span><strong style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif"><a href="https://trainings.analyticsvidhya.com/courses/course-v1:AnalyticsVidhya+CVDL101+CVDL101_T1/about?utm_source=ChennaiPy" target="_blank" style="color:rgb(52,153,219)"><span style="color:rgb(0,0,205)">"Computer Vision Using Deep Learning"</span></a></strong><span style="font-family:Arial,Helvetica,sans-serif,sans-serif;color:rgb(0,0,0)"> (Course Starts 4th September).  You will learn fundamentals of deep learning, build computer vision applications & ultimately become a Computer Vision practitioner.</span></div><div style="text-decoration-style:initial;text-decoration-color:initial;font-size:small"><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;text-align:center"><br><span style="color:rgb(0,0,0)">We are giving an exclusive discount to all chennaipy users on this course. Use Coupon Code<span> </span><strong>CVLAUNCH60</strong><span> </span>to get<span> </span><strong>60% Discount Today</strong></span></div><div style="background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;text-align:justify"><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif"><br><strong><span style="color:rgb(0,0,0)"><span style="background-color:transparent">Why Should You Enroll In This Course?</span></span></strong></div><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif"><br><span style="color:rgb(0,0,0)"><span style="background-color:transparent">This course, curated by experts in deep learning & machine learning will introduce you to the basics of Computer Vision, how to solve multiple Image classification problems, neural networks and convolutional neural networks. By the end of the course, you will be able to solve an end-to-end computer vision problem.</span></span></div><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif"><br><strong><span style="color:rgb(0,0,0)"><span style="background-color:transparent">When Should You Enroll In This Course?</span></span></strong></div><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif"><br><span style="color:rgb(0,0,0)"><span style="background-color:transparent">Ofcourse Now! The course is launching on 4th September and today we are offering this course to you at a special price of<span> </span><strong>Rs. 11,999 ($185)</strong><span> </span>only. This offer is valid only for limited time! Hence, we recommend you to enroll in the course right away and start your learning journey!</span></span></div><div><br><div style="text-align:left"><span style="color:rgb(0,0,0);font-family:Arial,Helvetica,sans-serif,sans-serif"><span style="background-color:transparent">Upon completion of the course & all projects, you will be awarded a <strong>CERTIFICATE</strong>! To enroll now, click here: </span></span><font color="#000000" face="Arial, Helvetica, sans-serif, sans-serif"><b><a href="https://trainings.analyticsvidhya.com/courses/course-v1:AnalyticsVidhya+CVDL101+CVDL101_T1/about?utm_source=chennaipy" target="_blank" style="color:rgb(17,85,204)">https://trainings.<wbr>analyticsvidhya.com/courses/<wbr>course-v1:AnalyticsVidhya+<wbr>CVDL101+CVDL101_T1/about?utm_<wbr>source=chennaipy</a></b></font></div></div><div style="text-align:left"><font color="#000000" face="Arial, Helvetica, sans-serif, sans-serif"><br></font></div><div style="text-align:left"><font color="#000000" face="Arial, Helvetica, sans-serif, sans-serif"><strong style="text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Course Projects:</strong></font></div><div style="text-align:left"><ol><li style="margin-left:15px">Age Detection of People from Closeups of Facial Images <br></li><li style="margin-left:15px">Gender Classification from Close-ups of Facial Images <br></li><li style="margin-left:15px">Classify Emergency Vehicles from Non- Emergency Vehicles <br></li><li style="margin-left:15px">Identify the location of Red Blood Cells <br></li><li style="margin-left:15px">Facial Key-point Detection <br></li><li style="margin-left:15px">Face Detection<br></li></ol><div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><font color="#000000" face="Arial, Helvetica, sans-serif, sans-serif"><strong style="text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Course Syllabus:</strong></font></div><div style="text-decoration-style:initial;text-decoration-color:initial"><ol><li style="margin-left:15px"><span style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Introduction to Computer Vision</span></span><br></li><li style="margin-left:15px"><span style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Setting up the System</span></span> <br></li><li style="margin-left:15px"><span style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Solving an Image Classification problem</span></span> <br></li><li style="margin-left:15px"><span style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Fundamentals of Deep Learning: Introduction to Convolutional Neural Network</span></span><br></li><li style="margin-left:15px"><span style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Tips and Tricks to Improve Deep Learning model performance</span></span> <br></li><li style="margin-left:15px"><div style="color:rgb(60,72,88);font-family:Arial,Helvetica,sans-serif,sans-serif;text-align:start;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><span style="color:rgb(0,0,0)">Horizon of Computer Vision and Case Studies</span></div></li></ol></div>Thanks</div></div></div></div>Deepika</div>

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