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.
6 years ago
Articles
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
Introducing The AI Wiki 🧠
We made the AI Wiki to keep the world of artificial intelligence a little less daunting. With easy-to-understand definitions and helpful graphics, the AI Wiki explains dozens of topics in AI, machine learning and deep learning, for beginners and practitioners alike.
By
Rachel Rapp
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
New Feature: YAML Config File on Gradient
The YAML config file simplifies your work from the command line by storing default arguments for different tasks.
By
Rachel Rapp
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
Building Image Datasets for Computer Vision Algorithms
A dive into the challenges of data collection, and data labeling and the most efficient ways and tools to tackle them.
6 years ago
Deploying Deep Learning Models Part 2: Hosting on Paperspace
In part two of deploying deep learning models, learn how to host on Paperspace.
By
Vihar Kurama
Deploying Deep Learning Models Part 1: Preparing the Model
In this tutorial we'll see how you can take your work and give it an audience by deploying your projects on the web
By
Vihar Kurama
