How To Make Techno 2019 with Harvey McKay [2019, ENG]
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Description
How To Make Techno 2019 with Harvey McKay [2019, ENG]
How To Make Techno 2019 with Harvey McKay [2019, ENG] | 2.63 GB
Sonic Academy proudly welcomes new teacher this week, Soul Techno producer Harvey McKay.
In How To Make Techno 2019, Harvey shows us his creative process in creating a dark, thoughtful and frankly sinister techno track from beginning to end in Ableton.
Starting with layered overloaded and saturated kick, we create tension with a rattling bass line, wired and crunchy hi-hats and snare, before adding the sinister main synth line created in U-he Repro. Once the elements are in place, we build sound episodes in Ableton before recording, as if we were playing live to put together the basic arrangement. Then we will tackle automation and editing from and to, to get to the final mix, when everything can be sent to mastering.
This is a course that proves that you do not need a whole ton of plug-ins and tricks to create a monstrous mix for the dance floor, and only a careful selection of the right sounds with minimal processing will help you with this!
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. This is what will allow you to have a global vision of what you are creating. Everything you make will look so clear and structured thanks to this library, that you will really get the intuition and understanding of what you are