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Generating Sequences With Recurrent Neural Networks
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Generating Sequences With Recurrent Neural Networks
arxiv.orgRecurrent neural networks (RNNs) are a rich class of dynamic models that have been used to generate sequences in domains as diverse as music [6, 4], text [30] and motion capture data [29]. RNNs can be trained for sequence generation by processing real data sequences one step at a time and predicting what comes next.
Hands-On Machine Learning with Scikit-Learn and TensorFlow
upload.houchangtech.com2 Despite the fact that Yann Lecun’s deep convolutional neural networks had worked well for image recognition since the 1990s, although they were not as general purpose. Preface The Machine Learning Tsunami In 2006, Geoffrey Hinton et al. published a paper1 showing how to train a deep neural