web.stanford.edu · GloVe and Fasttext word embeddings, two-layer I-STM and feed forward DNN to...
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web.stanford.edu · GloVe and Fasttext word embeddings, two-layer I-STM and feed forward DNN to build separate models. Our testing showed that the LSTM architectures produced the
![LSTM-in-LSTM for generating long descriptions of …LSTM-in-LSTM for generating long descriptions of images 381 VggNet [17]). Object detection systems based on a well trained DeepCNN](https://img.pdfslide.us/doc/110x75/5ed4612b9fae68113534086d/lstm-in-lstm-for-generating-long-descriptions-of-lstm-in-lstm-for-generating-long.jpg)
