keras-text-summarization
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chen0040
Text summarization using seq2seq in Keras
Especially for new learners, this could be easily missed.
Hello, thank you for sharing your codes. There are pre-trained model files in demo folder. Did you use fake_or_real_news.csv while training these models? Or did you use another input data?
Based on the results you showed in gits, it looks like losses from training and valid is diverging instead of converging as number of epoch increasing. So, what's the problem...
@chen0040 at class `RecursiveRNN3` u wrote that ``` config_file_path = RecursiveRNN2.get_config_file_path(model_dir_path) weight_file_path = RecursiveRNN2.get_weight_file_path(model_dir_path) ... architecture_file_path = RecursiveRNN2.get_architecture_file_path(model_dir_path) open(architecture_file_path, 'w').write(self.model.to_json()) ``` it's normal?
@chen0040 When I run the program on the terminal using the commands given in the readme,it shows the error : File "seq2seq_glove_train.py", line 5, in from keras_text_summarization.library.utility.plot_utils import plot_and_save_history ImportError:...
@chen0040 hi, I want to train my own model in my EN data. Which your variants models u recommend me to use?
hi, I want to train my own model in my Russian data. Which your variants models u recommend me to use?
Hi, I am wonder that how to initialize the state of the encoder and decoder. I tried both encoder_states and [a1, b1] to initialize the state of the decoder_lstm2 but...
Hi, I am doing some task，that is very similar to your task, expect its inputs and outputs are chinese . The frame is also seq2seq. I write code as same...
