Deep Learning
TF 2.18 & Keras: Real-World Performance Review
I finally bit the bullet last week. After ignoring the notification icons for two months, I upgraded our main training pipeline to TensorFlow 2.18.
RNNs Aren’t Dead: Liquid Networks in Keras 3
I distinctly remember the funeral we all held for Recurrent Neural Networks around 2019. The Transformer architecture had just walked into the room, eaten.
Distributed Training Finally Stopped Making Me Cry (Mostly)
I still remember the first time I tried to shard a 70B parameter model across a cluster of GPUs. It was 2 AM, I was three coffees deep, and the error logs.
Keras in Late 2025: Why Transfer Learning Is Finally Boring
I spent yesterday afternoon trying to squeeze a Vision Transformer (ViT) onto a consumer-grade GPU. A few years ago, this would have been a three-coffee.