- CBOW folder: The Tensorflow version of the CBOW model.
- DM folder: The Gensim and Tensorflow versions of DM model.
- RCNN folder: The Tensorflow with tflearn version of the RCNN model.
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regarding wikipedia.csv file
Hi,
where can i get the wikipedia.csv file?
does it have the same structure of a dump from wikipedia ?
thank you
train_inputs placeholder and batch does not match.
There is a bug in your code. The batch and training input does not match.
skip_window = 1 # How many words to consider left and right.
num_skips = 2
batch = np.ndarray(shape=(batch_size, num_skips), dtype=np.int32)
train_inputs = tf.placeholder(tf.int32,shape=[batch_size, skip_window * 2])
batch_temp = np.ndarray(shape=(num_skips), dtype=np.int32)
currently it is working because the skip_window is 1 and num_skip is 2. when you change either of them it starts to crack.
I suppose the fix is to change it to skip_window but I am not sure.
Hello , How to get the ground truth data such as 'refine_list.txt'?
Hi , How to get the ground truth data such as 'refine_list.txt'? you labeled it by yourself? or you got from somewhere?
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