People/organizations to follow on Twitter with all things machine learning (traditional, deep neural networks, LLM, etc)

Training requires a significant more amount of memory as it it has to keep track of the gradient for every parameter. I would check to see how much memory it takes up on your computer.

This is the only downside I've found. Sometimes it's too darn hard to find an instance.

Others have mentioned it, but do data augmentation, crop, resize, rotate, etc. and you'll be able to increase the size of your dataset and improve results.

Thanks for the in depth response!

Correct. But you don't necessarily have to discard the extra dimensions to do PCA.

You could try PCA and a random forest or a K-nearest neighbors

If you are doing it to learn and for fun, I would look into a Recurrent Neural Network (RNN) or a Long short term memory (LSTM) model for generation. They’re really good at picking up patterns in text. Im sure it would be able to do it well with enough training data.

I don’t know what flutter is. But PyTorch has methods that will optimize a model for mobile devices and make it GPU compatible for both iOS and Android.

Yeah I’m not sure about the details. But I would guess it’s so you can use back propagation and loss functions on your NN.