View Code? Open in Web Editor
NEW
This is the code for a LSTM Chat bot
chat-bot's People
Contributors
chat-bot's Issues
When I try to run chat.py I am getting this error: Optimizer weight shape (1200,) not compatible with provided weight shape (300, 300)
Can you please tell me the solution : I am using Associated Press News Skip-gram (0.6GB) Model (https://github.com/jhlau/doc2vec)
- word2vec.bin
- conversations.json
os.chdir("D:\semicolon\Deep Learning\chatbot");
model = gensim.models.Word2Vec.load('word2vec.bin');
path2="corpus";
file=open(path2+'/conversation.json');
data = json.load(file)
cor=data["conversations"];
i have trained this model on 700 lines of data (350 questions and 350 answers), is it possible to get
good accuracy using this much data only
i have trained this model on 700 lines of data (350 questions and 350 answers), is it possible to get
good accuracy using this much data only