Description

MIX Training – Shading with redshift

MIX Training – Shading with redshift | 7.62 GB
Duration 6h Project Files Included MP4
MIX training Shading with Redshift tutorial series.
In a very short time GPU rendering has taken the industry and is now is been used for a lot of amazing projects and there is no denying that Redshift has been the leading renderer, everyone is talking about it and is been used by a lot of artist because of it?s speed and scalability, that been said more and more people need to learn the in and out of Shading with Redshift and in this course you will learn all the tools, tricks and techniques you need to render amazing looking images using Redshift, we?ll be using Redshift version 2.6 which bring a lot of new features and the new Optix denoiser.
So if you need to learn Redshift Shading, this is the course for you.

f you are just starting out into Deep Learning, then you will find this course extremely useful. Deep Learning A-Z™ is structured around special coding blueprint approaches meaning that you won’t get bogged down in unnecessary programming or mathematical complexities and instead you will be applying Deep Learning techniques from very early on in the course. You will build your knowledge from the ground up and you will see how with every tutorial you are getting more and more confident.

If you already have experience with Deep Learning,

 you will find this course refreshing, inspiring and very practical. Inside Deep Learning A-Z™ you will master some of the most cutting-edge Deep Learning algorithms and techniques (some of which didn’t even exist a year ago) and through this course you will gain an immense amount of valuable hands-on experience with real-world business challenges. Plus, inside you will find inspiration to explore new Deep Learning skills and applications.

— Real-World Case Studies —

Mastering Deep Learning is not just about knowing the intuition and tools, it’s also about being able to apply these models to real-world scenarios and derive actual measurable results for the business or project. That’s why in this course we are introducing six exciting challenges:

#1 Churn Modelling Problem

In this part you will be solving a data analytics challenge for a bank. You will be given a dataset with a large sample of the bank’s customers. To make this dataset, the bank gathered information such as customer id, credit score, gender, age, tenure, balance, if the customer is active, has a credit card, etc. During a period of 6 months, the bank observed if these customers left or stayed in the bank.