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@federicobucchi @wangkuiyi @tuzhucheng How to support models such as Baichuan, Bloom, or QWEN, do modeling need to be modified, and can you provide steps to support training other models?
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Recently, Apple announced CoreML support in their iOS devices on Jun 9, 2017 - At WWDC 2017 . The developers can convert their trained models to CoreML as following:
* Converting Trained Models t…
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Mother fuck this is totally real shit! whole code is hard coded fitted just their own data not working for other data.
even my dog is not coding like this. this fucking no mother code is really reall…
ghost updated
2 weeks ago
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The input_data.shape is (35200, 22).
The problem is as follows:
```
train_perplexity = self._run_train_step(train_set, 'train')
File "F:\DBN-rbm-classification\yadlt\models\recurrent\ls…
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## Description
Simple Recurrent Unit (SRU) is a new recurrent netowkr architecture that provides better parallelization compare to regular LSTM/GRU cells and in some cases better performance compare …
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**The Problem**
Security Analyst are constantly in a need for Fresh Malware Samples.
The fight against malware is largely driven by ML Models that use static, or dynamic analysis. This is a large…
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Currently in the [default package Recurrence Types](https://github.com/benplummer/calendarful/tree/master/src/Recurrence/Type), when an occurrence of a Recurrent Event is generated it is a clone of th…
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I notice the word:"added the ability for training recurrent models (with layers conv-lstm[conv_lstm]/conv-rnn[crnn]) for accurate detection on video."
So, the lstm/crnn can be used OCR?
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[Visualizing and Understanding Recurrent Networks](https://arxiv.org/abs/1506.02078)
Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoying rene…
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https://ieeexplore.ieee.org/abstract/document/8356346/