Image Compression Using Autoencoders in Keras
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.
5 years ago
Machine Learning
Paperspace Gradient vs Amazon SageMaker
Paperspace Gradient and Amazon SageMaker make it easier to take machine learning models from research to production. Learn about the differences between the two platforms!
By
David
Image Captioning With AI
In this tutorial we'll break down how to develop an automated image captioning system step-by-step using TensorFlow and Keras.
5 years ago
A 2020 Guide to Synthetic Media
From deepfakes and virtual celebrities to "fake news," we'll cover popular cases of media synthesis and the research publications detailing how it's done.
5 years ago
Introduction to Bagging and Ensemble Methods
Learn how bagging and ensemble methods decrease variance and prevent overfitting in this 2020 guide to bagging, including an implementation in Python.
By
Vihar Kurama
Implementing Gradient Boosting in Python
In this article we'll start with an introduction to gradient boosting for regression problems, what makes it so advantageous, and its different parameters. Then we'll implement the GBR model in Python, use it for prediction, and evaluate it.
By
Dhiraj K
Cythonizing Genetic Algorithms: 18x Faster
In this tutorial we use Cython to reduce the execution time of the genetic algorithm implemented in Python. We've brought down our computational time from 1.46 seconds to a mere 0.08 seconds, so that 1 million generations run in less than 10 seconds with Cython, compared to 180 seconds in Python.
6 years ago
Introducing Gradient Public Profiles 📣
You can create a custom handle for your personal account as well as one for any shared team you manage. This enables you to share your Public Notebooks easily with the world!
By
Dillon
Featured
public
Gradient
New Gradient Python SDK
Build out complex end-to-end machine learning pipelines with the new Gradient Python SDK.
By
Dillon
