Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
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Training data format, template features and NER #9
Thanks for delivering this high-quality library for deep-learning tasks. I was wondering whether you could support the same training data format used in RNNSharp, where each column represented a given feature/label, instead of using separate files for features.
Also, are template features supported in SeqLabel? An example or explanation using SeqLabel for NER would be much appreciated...
Dear zhongkaifu,
Thanks for delivering this high-quality library for deep-learning tasks. I was wondering whether you could support the same training data format used in RNNSharp, where each column represented a given feature/label, instead of using separate files for features. Also, are template features supported in SeqLabel? An example or explanation using SeqLabel for NER would be much appreciated...
Thanks in advance, Nicolás