10x faster LSTM with NVIDIA GPU

In this video, we’re going to show you how to speed up LSTM training using NVIDIA GPU’s. This will allow you to run your models 10x faster without any extra requirements and loss in accuracy of prediction!

Neural Network training is one of the most important parts of Deep Learning, and understanding how to speed it up is essential if you want to achieve high-performance results. We start by making a baseline model using CPUs, and then leverage the GPU to show the impact on performance. The examples will be run in the Google Colab environment, where GPUs are accessible free of charge with base accounts. In this video, we’ll show you how to use NVIDIA GPU’s to speed up LSTM training and achieve great results without any extra requirements!

This is a fast-paced active coding tutorial, and I will appreciate any feedback you’d have in the comments.

Link to the GitHub page from where you can download the code: https://github.com/onetruepravy/Data-Science-Techniques/tree/main/10x%20faster%20LSTM%20training%20with%20GPU%20Acceleration