Thanks for the great course and I am not an oxford student.
I wonder that is there some baselines of task1? Since my model's performance is not good, which is:
Test : 25.60% (size : 250)
Validation : 30.40% (size : 250)
Train : 50.40%
I use word2vec as embedding method. It seems that RNNs work not as well as the perceptions in practice2. I think that there may be some bugs in my networks and I just want to figure out what is the right RNNs' performance.
Thank you.
Thanks for the great course and I am not an oxford student.
I wonder that is there some baselines of task1? Since my model's performance is not good, which is:
I use
word2vecas embedding method. It seems that RNNs work not as well as the perceptions in practice2. I think that there may be some bugs in my networks and I just want to figure out what is the right RNNs' performance.Thank you.