/lstm_mouse

LSTM network for generating human mouse patterns

Primary LanguagePython

Bibliographie

Soh, M. (2019). Learning CNN-LSTM Architectures for Image Caption Generation. [online] Semanticscholar.org. Available at: https://www.semanticscholar.org/paper/Learning-CNN-LSTM-Architectures-for-Image-Caption-Soh/53e9d718ec981850cfc6110385ac42ca2da2f612 [Accessed 28 Jan. 2019].

N. Sainath, T., Vinyals, O., Senior, A. and Sak, H. (2019). Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks - IEEE Conference Publication. [online] Ieeexplore.ieee.org. Available at: https://ieeexplore.ieee.org/document/7178838/ [Accessed 28 Jan. 2019].

N. Sainath, T., Vinyals, O., Senior, A. and Sak, H. (2019). Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks - IEEE Conference Publication. [online] Ieeexplore.ieee.org. Available at: https://ieeexplore.ieee.org/document/7178838/ [Accessed 28 Jan. 2019].

Mogren, O. (2019). C-RNN-GAN: Continuous recurrent neural networks with adversarial training. [online] arXiv.org. Available at: https://arxiv.org/abs/1611.09904 [Accessed 28 Jan. 2019].