Articles

Improving Model Accuracy with Transfer Learning, Data Augmentation, LR Finder, and Much More
Learn how to improve your models with transfer learning, data augmentation, LR Finder, and much more using this hands on guide with image classification.

Building sharp regression models with K-Means Clustering + SVR
How to use K-Means clustering and Support Vector Regression to solve complex regression problems.

Image Captioning With TensorFlow And Keras
Learn how to generate customized, appropriate captions for images using the TensorFlow and NLP on the Gradient Platform.

Using Gradient Workflows in Production: Updating our Public Datasets
How to use Gradient Workflows in production to update a dataset in cloud storage.

End-to-end Data Science with Gradient Workflows: StyleGAN2
This is a guide for using StyleGAN2 with Gradient Workflows to generate novel images.

NLP Text Generation Using Gradient Workflows and GitHub
In this article, we discuss how to run Gradient Workflows with GPT-2 to generate novel text.

Machine Translation With Sequence To Sequence Models And Dot Attention Mechanism
In this article, you will learn how to create a machine translator using NLP with the Keras TensorFlow framework using a recurrent neural networks.

Introduction to Autonomous Vehicle Theory
Autonomous vehicles are on of the most exciting, up-and-coming applications of deep learning to hit the public. In this guide, you will learn about the theory behind these vehicles and the relevant ML tools leveraged to make them work.