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Deep Learning: GANs and Variational Autoencoders

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Overview

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow What you'll learn: 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 Understand important foundations for Open AI Chat GPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion Ever wondered how AI technologies like Open AI DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications....

Syllabus

  • Introduction and Outline
  • Generative Modeling Review
  • Variational Autoencoders
  • Generative Adversarial Networks (GANs)
  • Theano and Tensorflow Basics Review
  • Appendix / FAQ Intro
  • Setting Up Your Environment (FAQ by Student Request)
  • Extra Help With Python Coding for Beginners (FAQ by Student Request)
  • Effective Learning Strategies for Machine Learning (FAQ by Student Request)
  • Appendix / FAQ Finale
Deep Learning: GANs and Variational Autoencoders
Go to Class

via Udemy

7 hours 51 minutes

Certificate Available

English

On-Demand

Intermediate

Instructor

Lazy Programmer Team

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