Generating Dinosaur Names with Pytorch

Generating Dinosaur Names with Pytorch

In this article, we will be training an RNN-based model to generate Dinosaur names with Pytorch. This article expects you to have a basic understanding of Python, RNN (Recurrent Neural Network) layers, and Pytorch, or any similar deep learning framework.

In this article, we will be training an RNN-based model to generate Dinosaur names with Pytorch. This article expects you to have a basic understanding of Python, RNN (Recurrent Neural Network) layers, and Pytorch, or any similar deep learning framework.

I have been into Deep Learning for some time now, and a majority of my experience has been around Computer Vision tasks where the data I’ve worked with are mostly images. Some months ago, I began trying my hands on Sequential data (after a very long pause), and so far, it has been a great experience.

I then decided to write about the various tasks that I’ve worked on that uses this kind of data. And what better way to start than with one of the most basic and fun tasks to do; Generating Dinosaur names using a sequence-to-sequence model.

The complete code used in this article resides in this Github repository. With that, let’s get started.

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