Blog

Artistic style transfer is one of the most popular creativity tools made possible by machine learning. People love to see their photos and videos transformed into works by famous artists or entirely new abstract masterpieces.

We often get asked if it’s possible to train custom styles. In this tutorial, I’ll show you how to train your very own style transfer model in just 20 minutes using our open source training template and Google Colab notebooks.

Continue reading “20-Minute Masterpiece: Training your own style transfer model”

Deploying memory-hungry deep learning algorithms is a challenge for anyone who wants to create a scalable service. Cloud services are expensive in the long run.

Deploying models offline on edge devices is cheaper, and has other benefits as well. The only disadvantage is that they have a paucity of memory and compute power.

This blog explores a few techniques that can be used to fit neural networks in memory-constrained settings.

Continue reading “How to Fit Large Neural Networks on the Edge”

18-year-old Maxime Cabrol has already mapped out his future. A university student, Cabrol is also a drummer and official Snapchat Lens Creator. His lenses often involve Geofilters and encourage users to travel the world and share the journey with their friends.

Perhaps most well-known for his World Flag lens, Cabrol is already making waves in the digital space. I caught up with the French Creator to learn more.

Continue reading “Snapchat Lens Creator Spotlight: Maxime Cabrol”

Anyone with a wet finger in the air will by now have heard of the “retail apocalypse” sweeping through the developed world’s malls.

“People aren’t spending in stores anymore,” your quarter-informed uncle complains, before moaning that youths are too busy Instagramming their avocado brunches to burn crosses on peoples’ lawns. Indeed, the old retailing models aren’t working as well as they used to.

Continue reading “Machine Learning & Physical Retail: A Love Story Waiting to Happen?”

This is the final post in our series covering the ins and outs of working with Google’s AutoML Vision Edge platform.

We started our journey by training a simple machine learning model in 3–4 hours. From there, we exported the model into various formats provided by AutoML.

Continue reading “AutoML Vision Edge: Comparing Model Formats”

In summary, HubSpot Breeze AI costs anywhere from $0 to $4,300 per month, depending on your business needs and the features you want to access.

The free plan is a great starting point for small businesses to explore basic functionality, but larger teams will need to invest in premium plans and purchase Breeze credits to unlock the suite’s full potential.

Continue reading “How Much Is HubSpot’s Breeze AI? Let Me Explain”

Tutor AI is a next gen learning platform that combines artificial intelligence with gamification and real time feedback to change the way we learn.

With 24/7 availability and tailored to you, it adapts to your style and pace to make learning more accessible and effective.

I’ve tried several other ai tutoring tools and I can confidently say Tutor AI is top of the list for anyone looking to learn—students, professionals or lifelong learners.

Continue reading “Tutor AI Review and Pricing 2025: Is It the Best AI Tutor?”

Looking for a more intelligent way to track down leads, streamline outreach, and boost conversion rates? Instantly.AI could be the power-packed platform you’ve been searching for.

Before this review, I assumed Instantly AI was just a tool designed to accelerate, simplify, and improve cold email outreach for sales teams.

However, it’s actually so much more than that. Instantly.AI gives teams a range of tools they can use to build out their lead database, improve email deliverability, strengthen customer relationships and more.

Continue reading “Instantly.AI Review: The Easiest Way to Find, Contact, and Convert Leads?”