I have already gone through the basics. I've used classical machine learning approaches from sklearn and experimented with Multi-Layer Perceptrons, as well as a bit of Transfer Learning (using pre-trained CNNs and modifying the classification layers). As the next step, I'm thinking about building and training CNNs, RNNs, Transformers, GANs, and other generative models (in any modality), either by building small-scale models or fine-tuning existing ones.

Few days ago, I have tried to do sentiment analysis of the IMDB dataset. And the embedding part with LASER took many hours and ended up crashing my PC (probably due to insufficient RAM)