I’m not sure if this is a suitable forum for seeking general help and advice. I’m new to the field of Applied DL in NLP. I’ve studied basics of DL and implemented CNNs in Keras. I’ve started a project which involves trying out various NN architectures (LSTMs, Bi-LSTM-CNN-CRFs, Transformers-BERT etc.) on news articles data.
However, I’m being overwhelmed by the many architectures to understand and especially the lengthy PyTorch codes. There aren’t many online courses that teach how to implement advanced models in PyTorch and I just can’t make sense of how to use GitHub repos provided in research papers like “Attention is All you Need” or that of BERT (Devlin et al.)
Any help related to this would be highly appreciated. Thanks