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Text pre-processing library for deep learning (Keras, tensorflow).

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I am facing issues while training and testing . Is the below code upto mark for training and testing ? Also the predictions are bad . As I am new...

Can you elaborate the use of parameter **train=false** passed to **word2vec_embedding_layer( )** as default parameter. You have already used pre-trained embedding, so what happens when we use **train=true**?

Hello,when I run the following code : data=['this is a positive sentence', 'this is a negative sentence', 'yet another positve sentence', 'the last one is negative'] wordVec_model = dl.loadGloveModel('glove.6B.50d.txt') data_inp,...