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Hello,
There is an old PR #1112 for clockwork RNN implementation in Keras, but I am not able to find in it current version of Keras. Can anyone point me in right direction?
thanks
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Because JavaScript is Awesome
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Hi,
I am currently using [tf.nn.top_k](https://www.tensorflow.org/versions/r0.11/api_docs/python/nn.html#top_k) in my code. However, I found this operation is calculated on CPU and it is quite slow.
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Seriously guys.
Looks like current **torch/rnn** introduces changes compared to **Element-Research/rnn** and is not compatible with the older code. Once Torch users update/reinstall/install the fra…
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I made a fresh install on a CentOS server, with python 2.7.13 (anaconda) and TF 1.1. python, TF and g2p-seq2seq are installed in userspace (with the --user flag)
Running python2 setup.py test give…
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My team and I worked on a text classification model using an LSTM and saved it using the saved_model_builder. We then tested it using the saved_model_cli, and inference was working. However, when we r…
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Hi there,
Has anyone implemented a (Connectionist-Temporal-Classification)CTC loss with keras?
I attempt to add such a cost function in objectives.py file, based on [rakeshvar's code](https://githu…
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- Discussion on the mathematical formulation of language understanding and its various aspects.
- The talk will comprise of the underlying mathematics in Deep Learning for NLP (math will be the pri…
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## The Problem
I wanted to jump back into SpeechRec, with Keras instead of my own NN code, so I started with the OCR code that uses the CTC (connectionist temporal classification) algorithm for label…
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Has anyone tried to construct Deep RNNs which unroll stacked RNNs in parallel?
That is, if there are 3 stacked RNNs (`RNN1`, `RNN2` & `RNN3`), and suppose the input has 5 timesteps (let's ignore batc…
pranv updated
7 years ago