xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy Getting Started With Deep Learning Improving Performance
Release Date.: 06-09-2019
Type.: Bookware
Disks.: 20x50mb
Link.: https://cloudacademy.com

Release Notes

Move on from what you learned from studying the principles
of recurrent neural networks, and how they can solve
problems involving sequencing, with this cohesive course on
Improving Performace. Learn to improve the performance of
your neural networks by starting with learning curves that
allow you to answer the right questions. This could be
needing more data or, even, building a better model to
improve your performance.
Further into the course, you will explore the fundamentals
around bash normalization, drop-out, and regularization.
This course also touches on data augmentation and its
ability to allow you to build new data from your starting
training data, culminating in hyper-parameter optimization.
This is a tool to that aids in helping you to decide how to
tune the external parameters of your network.
This course is made up of 13 lectures and three
accompanying exercises. This Cloud Academy course is in
collaboration with Catalit.
Learning Objectives

Learn how to improve the performance of your neural networks.
Learn the skills necessary to make executive decisions when
working with neural networks.
Intended Audience

It is recommended to complete the Introduction to Data and
Machine Learning course before starting.

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002