Lauren McManus & Alex Nerney – Pinterest Traffic Avalanche 2019
Lauren McManus & Alex Nerney – Pinterest Traffic Avalanche 2019 | 3.36 GB
Finally, A Solution for Beginner Bloggers to Drive 10,000 – 100,000+ FREE Monthly Visitors to Your Blog – on Autopilot!
Introducing.
Pinterest Traffic Avalanche
A Solution for Beginner Bloggers to Drive 10,000 – 100,000+ FREE Monthly Visitors to Your Blog – on Autopilot!
8 Modules with Over 25 Training Videos
+ a BONUS module on our Ninja Pinterest Secrets!
pinterest traffic avalanche course
With It, You Will Learn How to.
set up pinterest profile
SET UP YOUR PINTEREST PROFILE
Set up your profile for success, including using search engine optimization (SEO) to boost your visibility in Pinterest search. Learn how to organize your boards, your pins, create beautiful board covers, and so much more!
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.
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.
The interesting thing is that both these libraries are barely over 1 year old. That’s what we mean when we say that in this course we teach you the most cutting edge Deep Learning models and techniques.
Theano is another open source deep learning library. It’s very similar to Tensorflow in its functionality, but nevertheless we will still cover it.
Keras is an incredible library to implement Deep Learning models. It acts as a wrapper for Theano and Tensorflow. Thanks to Keras we can create powerful and complex Deep Learning models with only a few lines of code. This is what will allow you to have a global vision of what you are creating.
