LSTMRNNIntroduction: The primary structure of the protein is a polypeptide chain made up of a sequence of amino acids. What happens due to interaction between the atoms of the backbone is that it forms within a polypeptide folded structure, which is very much within the secondary structure. ...
The proposed forecasting model is an extension of LSTM model by adding intermediate variable signal into LSTM memory block. The premise is that two highly related patterns in input dataset will rectify the input patterns so make it easier for the model to learn and recognize the pattern from ...
a new model combining Deep Speech and three-la-yer LSTM(Long Short-Term Memory) neural network was designed.Firstly,on the basis of adding attention mechanism,the accuracy and fluency measure of speech ...
multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling from character-level language models https://github.com/karpathy/char-rnn
Addresses: Department of Music and Dance, Hunan University of Science and Engineering, Yongzhou, 425199, ChinaAbstract: In order to improve the effect of user music personalised recommendation, a hybrid music personalised recommendation model based on attention mechanism and multi-layer LSTM is proposed...
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow. - hunkim/word-rnn-tensorflow
A cute multi-layer LSTM network that can perform like a human 🎶 It learns the dynamics of music! The architecture was specifically designed to handle music of different genres. If you wish to learn more about my findings, then please read my blog post and paper: Iman Malik, Carl Henrik...
首先我们根据问题q(由LSTM编码得到)对每个节点进行了attention操作。这样每个节点就会计算得到一个权重\alpha,与问题更相关的节点,它的权重就会越高。 Question-guided Edge Attention 接下来根据问题对每条边进行了attention操作。具体以每个节点v_i为中心节点,计算每个邻居节点和它以及问题的重要程度,q’包含了中心节点...
(e.g. if this is 1 then a checkpoint is written every iteration). The filename of these checkpoints contains a very important number: theloss. For example, a checkpoint with filenamelm_lstm_epoch0.95_2.0681.t7indicates that at this point the model was on epoch 0.95 (i.e. it has ...
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch - prm10/char-rnn