Course Info & Coupon Details
This Course Will Teach You Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow. I recommend taking a course, “Deep Learning: GANs and Variational Autoencoders” by Lazy Programmer Inc.
Course name: Deep Learning: GANs and Variational Autoencoders
Course instructor: Lazy Programmer Inc. (Data scientist and big data engineer)
Description Course: Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow
Online course: 41 lectures, Intermediate Level
Video length: 5.5 hours
Categories: Data & Analytics
Students & Ratings: As of October 16, 2017, more than 1,676 students enrolled and have over 72 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
Brief Course Curriculum and Learning Objectives
The online course “Deep Learning: GANs and Variational Autoencoders” has been developed by Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. Also, the creator of the Bestselling in Natural Language Processing, A/B Testing, Artificial Intelligence Courses on Udemy with over 81,000 students. After successfully completing this course, students will be able to:
You’ll learn the basic principles of generative models
With the experience you gain in this course you’ll be able to build a variational autoencoder in Theano and Tensorflow
Once you complete this course, you’ll be able to build a GAN (Generative Adversarial Network) in Theano and Tensorflow.
Conclusion and Recommendation
This course is a great way how to Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow. If you want to improve their deep learning knowledge, then this is the right course for you! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀
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