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Youtube Marketing Secrets & SEO: Grow Subscribers & Rank #1

Youtube Marketing Secrets, SEO & Audience Growth: Rank Your Videos, Get Subscribers, Video Views & Keyword Research
Created by Jean-Gabriel Paquette | Video: h264, 1280×720 | Audio: AAC 48KHz 2ch | Duration: 04:42 H/M | Lec: 31 | 616 MB | Language: English | Sub: English [Auto-generated]

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.

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.