Deep Learning: GANs and Variational Autoencoders

Online Course

Udemy

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Deep Learning: GANs and Variational Autoencoders

The course Deep Learning: GANs and Variational Autoencoders is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Course description

Deep Learning: GANs and Variational Autoencoders

Learn the basic principles of generative models
Build a variational autoencoder in Theano and Tensorflow
Build a GAN (Generative Adversarial Network) in Theano and Tensorflow

Know how to build a neural network in Theano and/or Tensorflow
Probability
Multivariate Calculus
Numpy, etc.

7.5 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Lazy Programmer Inc.

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Prerequisites & Facts

Deep Learning: GANs and Variational Autoencoders

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Deep Learning: GANs and Variational Autoencoders

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Deep Learning: GANs and Variational Autoencoders

provided by Udemy

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School: Udemy

Topic: Data Science, Development, Generative Adversarial Networks (GAN)

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