Hello,
I started learning Deep Learning with PyTorch some months ago and I worked mostly with CNNs which were pretty straight forward and the concepts were fairly easy to grasp.
For the past 2 weeks, i am trying to get involved with sequence models and NLP in order to do my bachelor thesis on the topic of sentiment analysis and everything is messed up.  I understand the architectures and the maths behind them, but i cant understand how to apply them correctly in PyTorch.  What is the most complicated for me, is the input and the output of the networks.  I can’t figure out how to feed the network, in what way depending of the problem, what i should be trying to get as an output at each time step etc.
Can someone explain me or give me some good resources in order to overcome this obstacle?
Thank you