Tag: debugging

Where Curiosity Meets Chaos These days my machine learning experimental project is deep in the trenches. I’m no longer chasing novelty, I’m chasing stability. Every run, every epoch, every tensor feels like a conversation with the machine that refuses to answer clearly. The RNN repeats itself. The dropout layers don’t help. The learning rate oscillates…