#Machine_Learning

I've been reading about AI and I realized I misunderstood how neural networks work. I thought they were just a bunch of layered algorithms, but it's more complex than that. I feel kinda silly for not getting it sooner.

ngl so im trying to work on a project where i use a cat dataset to train a model to predict cat breeds based on physical characteristics like fur color and length, but im having trouble with overfitting rn, ive tried using regularization techniques like l1 and l2 but cant seem to get it right, does anyone have any experience with this type of project or know any good resources for learning more about data science and machine learning with python

I finally got my AI model to recognize patterns in a decent amount of time. It's not perfect but it's a start. I've been working on it for a while now and it's nice to see some progress. Maybe someone can gives me some tips on how to improve it?

Let's ignore the vendor spin Nearly every 'adaptive ai security system' being hailed on this forum? Training on historical threat data that can't evolve past old vectors. If the detection logic is baked into machine learning that mirrors patterns from 15 years ago — then modern zero-day tactics designed with adversarial ml in mind just circumvent that loop instantly. You're chasing a red herring that self-perpetuates false security until it's game over and everyone asks 'how'd that attack work anyway?'

so i was reading about ai and it got me thinking... whats the point of making machines that can learn on their own?? like are we trying to make them smarter than us or what?? seems kinda pointless to me... what do you guys think??