Tag: deep-learning

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 🙂 !!!

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 🙂 !!!

Deep Learning – Sequence-to-Sequence Model

In this part of the Deep Learning series, we will introduce the concept of the Sequence-to-Sequence (also known as the Encoder-Decoder) model in the context of a Language Translation use-case. In addition, we will get our hands dirty to demonstrate the translation of English sentences to Spanish sentences. To accomplish this task, we will implement an GRU model using PyTorch.

Here is the link to the article on Deep Learning demonstrating the English-to-Spanish Language Translation using GRU:

Deep Learning – Sequence-to-Sequence Model

Enjoy 🙂 !!!