Here is the tensorflow implementaiton for this paper. I got best results over the IMDB dataset from this paper. Hope it helps.
Make sure to have the necessary libraries installed:
Copy code pip install tensorflow numpy pandas Data Preparation Download and prepare the IMDB dataset:
max_features = 20000 maxlen = 200 Dropout = 0.4
(x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=max_features)
x_train = pad_sequences(x_train, maxlen=maxlen) x_test = pad_sequences(x_test, maxlen=maxlen)