How are GANs trained | Generative Adversarial Networks with Mathematical Equation, Numerical example

Contents in this video:
1. What is the training process of Generative Adversarial Networks (GAN)
2. How are GANs trained
3. Generator and Discriminator Training
4. Mathematical equations and formulae for Generator & Discriminator loss
5. Numerical example to demonstrate the GAN training process
6. How is the GAN used to generate fake images and how to distinguish between real and fake images

Other videos on GAN:
   • What Are GANs? | Generative Adversarial Ne...  

About the playlist:
I've started a new playlist on Generative AI.
It will include everything about Generative AI, prompt engineering, tools like ChatGPT, Bard, MidJourney and many more with the technologies/ ML algorithms used, different types of generative models and their deep architecture with step by step code, details on transformers, Large Language models(LLMs) & even basics of Machine learning, deep learning, neural networks, Natural language processing & much more.

Prerequisites required to learn this course:
Your zeal to learn
Basics of Python

This course is for all:
Beginners
Intermediate
Expert
Beginners in Machine learning/ AI can also easily learn this course, as I will go through the basics to an advanced level.

How is this course different:
Includes not just prompts, it includes in-depth knowledge of Generative AI
This course is important for all those who want to upskill
This is in Hindi with English subtitles/ audio track, so everyone can easily understand
Complex algorithms explained with real-life examples

My social links:
Twitter:   / aparnasoneja  
LinkedIn:   / aparna-35066b191  

Queries:
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GAN training process explained
GAN loss
mathematical equations of Generator and discriminator loss
how to calculate the loss of generator and discriminator
what is GAN in AI
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GAN tutorial
GAN architecture
AI image generation
deep learning models
generator and discriminator
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generative model vs discriminative model
GANs for beginners
AI model training
latent space in GANs
adversarial learning
fake image generation
AI creative models
neural networks for art
computer vision AI
unsupervised learning GAN
deepfake technology explained
DCGAN / StyleGAN / CycleGAN
generative AI examples
how AI learns to create images
AI content creation
diffusion vs GAN models
real vs fake image classification

Hash tags:
#generativeai #generativemodels #generativeadversarialnetworks #deeplearning #deeplearningtutorial #largelanguagemodels #WhatAreGANs #GANsTutorial #WhatAreGansUsefulFor #AI #machinelearning #artificialintelligence

Thanks !!