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Recently, @GaofengCheng has been doing some interesting experiments with dropout and BLSTMs, and getting nice improvements. He was using a dropout schedule in which you start with zero dropout, ramp …
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In NLP field, Neural Machine Translation (NMT for short) is one of the most important tasks to evaluate how near our models and techniques approach the ultimate goal: understanding natural language. B…
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Thanks for sharing this awesome project. I have run it and test by using my own voice. the ASR accuracy is good. Some questions about this project,
1. It seems that this project don't support onlin…
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**Edit: for easy reference, the proposed new API is at https://github.com/micropython/micropython/wiki/Hardware-API**
Since we have the WiPy TODO list (#1425) Damien and I spent some time today discu…
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Hello,
So at my school, we want to build a simular car. I wanted to make up the whole code from 0 in Java, but luckily i found your project.
So i've got a few questions about the title, but let me i…
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### System information
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**:No. Running the Simple Audio recognition network tutorial
- **OS Platform …
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Self-attention decoding is slow by design. However, some tricks were implemented in [Tensor2Tensor](https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/models/transformer.py) to make…
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There seem to be problems with decoding from a language model, in particular a (very small) attention_lm and a custom lstm model. When t2t-decoder is run in interactive mode:
`python t2t-decoder --…
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when i am printing the imported summaries from the pickled file, its alright. It's fully printed in its encoded form. Vec_texts also prints fine. But vec_summaries_reduced and vec_texts_reduced return…
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Hi, I'm new to matching reading in recent days and read your two awesome papers
1. Learning Natural Language Inference With Lstm
2. Machine comprehension using match-lstm and answer pointer
But…