GAN (Generative Adversarial Networks)

GAN (Generative Adversarial Networks)

GANs are an approach to generative modeling using deep learning methods.

GANs are an approach to generative modeling using deep learning methods.

Lets understand GANs using a simple example.

Their are fake currencies and real currencies. Police is able to distinguish between fake and real ones and gives feedback to fake currencies generator and it tries to do better next time. I know it’s bit confusing but after a few moments I am sure you will get it.

Image for post

The training of model is done in two steps.

Step 1:

Police that is our discriminator is trained and it distinguishes between fake and real notes.

Step 2:

Our generator of fake notes is trained and discriminator layer is frozen.

Let’s look at the code and understand better.

Image for post

Here I have only discussed only the main part the full code repo is available at last.

machine-learning python data-science

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Data Science With Python Training | Python Data Science Course | Intellipaat

🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

6 Best Python IDEs for Data Science & Machine Learning [2021]

6 Best Python IDEs for Data Science & Machine Learning [2021] - An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program

6 Best Python IDEs for Data Science & Machine Learning [2021] | upGrad blog

Introduction  An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program. 6 Best Python IDEs for Data Science & Machine Learning [2021]

How I'd Learn Data Science If I Were To Start All Over Again

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?

Applied Data Analysis in Python Machine Learning and Data Science | Scikit-Learn

Applied Data Analysis in Python Machine learning and Data science, we will investigate the use of scikit-learn for machine learning to discover things about whatever data may come across your desk.