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I am working on this Image Captioning project using CNN+LSTM. Currently I am using googleNet as CNN and lstm, bilstm as RNN. For embedding I am using word2vec algorithm. Dataset used is flickr8k. As you can see from the blue scores, they are very close i.e no noticeable improvement. Parameter values in both of these approaches are same. The values are as follows:
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