Converting your pictures into cartoons using GANs, a detailed guide on Performers & an AI-powered design assistant in today’s Data Science Daily 📰
Cartoonify is an application that turns pictures into cartoons using Generative Adversarial Networks (GANs) by Ahmed Besbes, an AI -Deep Learning engineer, Blogger and Creative problem solver.
This is a beginner-friendly guide which features a machine learning application with a heavy model on the backend, a React user-friendly interface on the frontend, and a serverless cloud architecture all around so that the project is scalable to tens, hundreds, or even thousands of users.
He has created a video series, medium article and has also shared the code (links below) to the project!
- Generative Adversarial Networks — more specifically the CartoonGAN model
- Deploying a model on serverless AWS architecture
- Building a custom React front-end
- Deploying the React interface on Netlify
Medium Blog: https://medium.com/@ahmedbesbes/building-and-deploying-cartoonify-b4786b382d7e
Google AI recently released a paper, Rethinking Attention with Performers (Choromanski et al., 2020), which introduces Performer, a Transformer architecture which estimates the full-rank-attention mechanism using orthogonal random features to approximate the softmax kernel with linear space and time complexity.
This article provides a detailed and well-written explanation of its working and how it paves way for future advancements in Machine Learning.
Bezier.ai is an AI-powered design assistant that allows creatives to iterate faster, without the struggle of endless design variations. Bezier can create icon packs, colourize icons, and generate variations of any design in your own style. It combines the power of AI and computer vision to find novel, never-seen-before combinations of your design elements that fit together well visually and consistency wise.
Early access is open now! Here’s the link 👉 https://bezier.ai
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