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COMING UP

 
 
 
 
 
 
 
 
 
 
Venue, Online
Aug 04 (Tue) , 2020 @ 08:30 PM
FREE
 
Register
 
 

 
DETAILS

This is paid online live course (with zoom), follow instructions below to enroll
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3-week AI course: Deep Learning for Computer Vision (Batch #4)
Start date: Aug 4th, 5:30pm PT/8:30pm ET. Every Tue&Thu.
Enroll:
https://learn.xnextcon.com/course/coursedetails/C20080417
** 30% off promotion price ends soon.

This course is online live course, with zoom & slack group support. you can listen, watch, interact, Q&A with instructors, hang out with instructors/peer students pre/post sessions. If you miss the live session, you can learn session replay with recordings, course materials any time.

The course include:
* 3 weeks / 6 sessions / 12 hours
* 6 lectures / 8 code labs
* Capstone project, Github portfolio
* Live Sessions, Real time interaction
* Slack support after class & homeworks
* Life time access to course materials

Details:
This 3 weeks immersive instructor-led course will teach everything you need to know to become a software engineer in computer vision & deep learning! You will learn:
* Recognize problems can be solved with deep learning
* Select the right technique for the problems.
* Master deep learning algorithms, models & computer vision tech
* Master the most popular tools like numpy, Keras, Tensorflow, & openCV
* Master google cloud deep learning pipelines

This course is packed with practical exercises & code labs. not only will you learn theory, but also get hands-on practice building your own models, tuning models, & serving models
* Practical walkthroughs that present solutions to actual, real-world image classification problems & challenges
* Hands-on tutorials (with lots of code) that not only show you the algorithms behind deep learning for computer vision but their implementations as well
* A no-nonsense teaching style that is guaranteed to cut through all the cruft & help you master deep learning for image understanding & visual recognition
* End to end deep learning pipeline from building models to deploy & serve models

 
 
 
 
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