Logo: 
Areas Served: 
How To Use TPUs in Kaggle / Google Colab To Train a GAN in the Blink of An Eye.
Author(s): Pere Martra Originally published on Towards AI. Looking to speed up your GAN training? In this article, I’ll show you how to utilize TPUs in Kaggle or Google Colab to drastically reduce training time, allowing you to generate high-quality images in …
Acheiving 33rd Rank (of 186) in a NASA Harvest Field Boundary Detection Challenge in 50 Epochs
Author(s): Ronny Polle Originally published on Towards AI. A full description with ablations and code. source : Zindi.Africa Outline 1. Problem Statement 2. Approach 3. Key Takeaways Problem Statement NASA Harvest Field Boundary Detection challenge is a machine learning challenge organized by …
Memorizing Transformer
Author(s): Reza Yazdanfar Originally published on Towards AI. How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?Extending Transformers by memorizing up to 262K tokens This article is a fabulous attempt to leverage language models in memorizing information by …
Generating Adversaries for CNNs: My Cat Is a Goldfish, so Dont Tax It.
Author(s): Akhil Theerthala Originally published on Towards AI. Discover how to fool CNNs with unexpected images, like a cat that’s actually a goldfish! Learn how to generate adversaries for convolutional neural networks (CNNs) with this informative article. AI has become ubiquitous in …
OpenChatKit is an Open Source Alternative to ChatGPT
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework was created by the collaboration of Togeter, LAION, and Ontocord.Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, …
PyTorch Wrapper to Build and Train Neural Networks
Author(s): Rokas Liuberskis Originally published on Towards AI. I will introduce the PyTorch Wrapper in this tutorial, saving us time when developing the PyTorch models training pipeline. We’ll be able to do this in blocks! The Most Advanced Data Science Roadmaps You’ve …
Maximizing the Impact of Data Augmentation: Effective Techniques and Best Practices
Author(s): Youssef Hosni Originally published on Towards AI. Data augmentation is a popular technique in machine learning that involves creating new data from existing data by making various modifications to it. These modifications could include adding noise, flipping images horizontally, or changing …
Popular posts
Updates
Recent Posts
