Description

SellerCon – Amazon Seller Conference 2019

Matt Clark & Jason Katzenback – Amazing Seller Conference 2019 | 36.91 GB

The Secret to Selling More on Amazon
SellerCon 2019: The Largest Amazon Seller Event of the Year
What Is SellerCon?
The world of Amazon is always changing. In 2019, Amazon sales are predicted to exceed $300 billion. To stay ahead, you need the latest strategies, tactics, and resources used by top Amazon sellers around the world.
Over the past 6 years, over 15,000 Amazon sellers from around the world have joined us live to learn how to scale their brands.

Have you ever taken a course or read a book where you have questions but cannot reach the author?

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.