Gayathri Ramu·Aug 16GreetSense: Building a Real-Time Facial Recognition System You Can Actually TrustWhat happens when you stop assuming a model works, and start measuring whether it does?
REIT monero·Apr 30How to Use Keras 3 for Deep Learning Model CreationUsing Keras 3 effectively requires understanding both its high-level workflow and the structural changes introduced in its latest iteration…
Shubham Kumar·Mar 29From Shelf Image to Stock Keeping Unit Code (SKU Code): Designing a Production-Ready Retail AI…A practical, production-grade guide to building a scalable retail AI system that survives repackaging, New product developments (NPDs), and…
fatima tahir·Sep 27, 2025Deep Learning Models: CNN, RNN and TransformersNeural networks are highly effective models capable of analyzing complex data types such as images, videos, audios, and text. However…
InILLUMINATIONbyMaximilian Oliver·Aug 31, 2025Deploying Deep Learning Models with Edge DevicesHow I Brought AI to Raspberry Pi, Jetson Nano, and Mobile Devices Without Breaking a Sweat.
InStackademicbyMaximilian Oliver·Aug 11, 2025Squeezing the GPU: My Hands-On Guide to Deep Learning Model Optimization for ProductionFrom bloated training loops to blazing-fast inference, here’s how I tuned deep learning models for real-world deployment — without losing…
Mayur Chaudhari·Aug 11, 2025Transformers in AI — The Game-Changer Powering Modern Artificial IntelligenceIntroduction
Leela Kumili·Jul 24, 2025Foundations of AI for Engineers — Part 3: Deep Learning FundamentalsIn Part 2, we explored how machines using different types of data — labeled, unlabeled, and everything in between to learn.
