Outline
In this Project we will discuss about GAN's. Using this we can create images that doesn't exist.
GAN (Generative Adversarial Network) : Generating new images using neural network.
Here input is images and output is also and image .
Our requirement is to generate a real images from random patterns.
Now Generating The Model : Using Pre-Trained Model Fashion MNIST
A generative adversarial network is a class of machine learning frameworks invented by Ian Goodfellow and his colleagues in 2014. Two neural networks contesting with each other in a game. Given a training set, this technique learns to generate new data with the same statistics as the training set.
Explaining how to create images that doesn't exist by using GAN.
Gan
Images
Outline
In this Project we will discuss about GAN's. Using this we can create images that doesn't exist.
GAN (Generative Adversarial Network) : Generating new images using neural network.
Here input is images and output is also and image .
Our requirement is to generate a real images from random patterns.
Now Generating The Model : Using Pre-Trained Model Fashion MNIST