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**Is your feature request related to a problem? Please describe.**
The current code is unstructured and lacks modularity, making it difficult to maintain and extend. Additionally, there is no syste…
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" I extract the activations of the CNN manually, then use the activations as inputs for training a separate LSTM ".
When you say 'extract the activations' , do you mean extract the predicted values…
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### System Info
- `transformers` version: 4.41.2
- Platform: Linux-4.14.105-1-tlinux3-0013-x86_64-with-glibc2.2.5
- Python version: 3.8.12
- Huggingface_hub version: 0.23.3
- Safetensors versio…
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I want to apply CQR with a customized LSTM model created with Tensorflow. However, it does not support Tensorflow models. Is there a workaround or am I missing something?
Thanks!
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I am trying to implement a LSTM TFLite model on ESP32. But when I tried to run the model, it is printing an error as follows :
`ets Jul 29 2019 12:21:46
rst:0xc (SW_CPU_RESET),boot:0x13 (SPI_FA…
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**Is your feature request related to a problem? Please describe.**
Yes, The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. Investors eagerly seek …
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**Description:**
Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data a…
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For the past 3 weeks I've been searching nonstop for a solution to this problem, when training a LSTM model with a custom DataGenerator, Keras ends up using all my RAM memory. The context of the proje…
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Some kind of seq2seq (from MLPerf)
vatai updated
4 years ago
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The code says it implements the version of the LSTM from Graves et al. (2013), which I assume is this http://www.cs.toronto.edu/~graves/icassp_2013.pdf or http://www.cs.toronto.edu/~graves/asru_2013.p…