Its an abstraction for neural networks. Different individual networks might vary in number of layers (columns), nodes (circles), or loss function (lines), but the concept is consistent across all.
I haven’t really done Neural Networks in 2 decades, and was under the impression that NNs pretty much dominate Machine Learning nowadays, whilst stuff like Genetic Algorithms were way less popular or not at all used anymore.
Neural networks are a class of models. Genetic algorithms are a class of learning algorithms. You use learning algorithms to train models. Genetic algorithms are a valid way of training neural networks, but this is not currently in vogue. They’re typically trained via gradient descent.
Not all machine learning is AI. There are plenty of Machine Learning algorithms like Random Forests that are not neural networks. Deep learning would be big neural networks.
I’m not a bot and I have no idea what the image is
It’s a diagram of a neural network which is the concept AI models are built on.
Thank you
LLM models or ML in general? i’ve only known folk who worked on ML, not actually done it myself
LLMs definitely, but not all machine learning uses neural networks
ohhhh so that’s The model for neural networks, not A model for neural networks
Its an abstraction for neural networks. Different individual networks might vary in number of layers (columns), nodes (circles), or loss function (lines), but the concept is consistent across all.
Kinda but also no. That’s specifically a dense neural network or MLP. It gets a lot more complicated than that in some cases.
It’s only one type of neural network. A dense MLP. You have sparse neural networks, recurrent neural networks, convolutional neural networks and more!
I haven’t really done Neural Networks in 2 decades, and was under the impression that NNs pretty much dominate Machine Learning nowadays, whilst stuff like Genetic Algorithms were way less popular or not at all used anymore.
Is that the case?
Neural networks are a class of models. Genetic algorithms are a class of learning algorithms. You use learning algorithms to train models. Genetic algorithms are a valid way of training neural networks, but this is not currently in vogue. They’re typically trained via gradient descent.
Not all machine learning is AI. There are plenty of Machine Learning algorithms like Random Forests that are not neural networks. Deep learning would be big neural networks.
The other way around. Machine learning is a subset of AI.
You are correct. I had to actually look that up.
That’s totally something a bot would say