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Ran Segall – Webflow Masterclass

Original price was: $999.00.Current price is: $49.00.

This Course is available for download now. You can contact us for Screenshots or Demo. Access for this course will be sent on google drive. Join our telegram channel to see updates and occasional discounts. If you want to pay through Paypal or Card contact us – On Telegram Click Here or contact on Mail – [email protected]

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Ran Segall – Webflow Masterclass

THE WEBFLOW MASTERCLASS How To Go FromPixel Perfect Design to Pixel Perfect Websitein hours – Not Weeks You don’t need a developer, or to Learn how to write code yourself. All you need to do is start using Webflow correctly, and you’ll discover yourself earning more with less stress.

Ran Segall – Webflow Masterclass | 9.15 GB

Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help.

In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum.

No matter how complex your query, we will be there. The bottom line is we want you to succeed.

Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both!

TensorFlow was developed by Google and is used in their speech recognition system, in the new google photos product, gmail, google search and much more. Companies using Tensorflow include AirBnb, Airbus, Ebay, Intel, Uber and dozens more.

PyTorch is as just as powerful and is being developed by researchers at Nvidia and leading universities: Stanford, Oxford, ParisTech. Companies using PyTorch include Twitter, Saleforce and Facebook.

So which is better and for what?

Well, in this course you will have an opportunity to work with both and understand when Tensorflow is better and when PyTorch is the way to go. Throughout the tutorials we compare the two and give you tips and ideas on which could work best in certain circumstances.

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