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When I try to run the basic inference demo I get mismatches for the dimensionality of the pretrained models and context_lstm. There isn't really any location in any of the project files where 1044 or …
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Hello, my input is
input (1, 257, 1, 2)
state_h (1, 31, 32)
state_c (1, 32, 32)
May I ask how I should create the correct Mat data type for ncnn inference?
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Now that our [dataset is ready](https://github.com/Galeos93/disaster_tweets/issues/3), we are able to train a model. For a baseline, nothing too elaborate is needed. Possible ideas:
- Vanilla LSTM
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Sudoku Solver using CNN
:red_circle: **Aim** :
Network was able to solve the puzzles with 95% accurac…
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I really wish it was evident in the Title
Tinker With a Neural Network (Using the: XNN / Using LSTM: No) Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.
Pick XNN from se…
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If I want to use the attention rnn with this lib.
Is there anything examples or guides for building a attention rnn?
D-X-Y updated
7 years ago
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Could you add some notes to these models, especially the corresponding paper links? For example, in this paper, Enhancing the locality and breaking the memory bottleneck of transformer on time series …
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First of all, thank you for creating this wonderful repository. I'm the one who [ported PoseNet](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc…
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https://github.com/Rutgerdj/mortalityPrediction/blob/685c5f9f1049d5d1b9b49755992bf0c5ff854582/models.py#L21
you have a variable in config that is lstm_units, and then you multiply it by 4. Why is tha…