Deep Learning – Generative Adversarial Network

In this next part of the Deep Learning series, we will explain how a Generative Adversarial Network (GAN) model works and use PyTorch for a practical demonstration to generate synthetic (fake) images of digits that mimic the real images from the MNIST dataset.

Here is the link to the article on Deep Learning using GAN:

Deep Learning – Generative Adversarial Network

Enjoy πŸ™‚ !!!

Deep Learning – Convolutional Neural Network

In this next part of the Deep Learning series, we will explain how a Convolutional Neural Network (CNN) model works and use PyTorch for a practical demonstration to classify images of digits using the MNIST dataset.

Here is the link to the article on Deep Learning using CNN:

Deep Learning – Convolutional Neural Network

Enjoy πŸ™‚ !!!