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Machine learning systems, such as large language models, that generate content are starting to be integrated into collaborative environments. Examples include office applications and IDEs (e.g., for c…
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**System information**
* Have I written custom code:
* OS Platform(e.g., window10 or Linux Ubuntu 16.04):
* Python version:
* Deep learning framework and version(e.g., Tensorflow2.1 or Pytorch1.3)…
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### Kişisel:
- **Ad Soyad:** Nazmi Girgin
- **Okul:** Muğla Sıtkı Koçman Üniversitesi
- **Sınıf:** 2. Sınıf
- **CV:** [https://drive.google.com/file/d/1qB3WTcpjRQlaGPxSlXCs6x8IKa9wevQ7/view?usp=…
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This is meant to gather any ideas for potential baselines or enhanced approaches to tackle the shared task.
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Would really appreciate it if the successful hyper-parameters were provided, i.e., how the learning rate should be initialized and decayed. I re-implemented ResNet-50 following the example. But I am t…
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(I've revised this issue based on new thoughts)
# Summary
I wrote Lute based off of LWT, but dropped the SRS feature of LWT: the code was brutal, and for the initial MVP (minimal viable product) rel…
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#### Issue Description
According to the original paper [1] (page 4 right at the bottom) SkipGram is supposed to generate word-context pairs of words that have a distance of up to **C** (window size).…
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Entender melhor o funcionamento do Tensorflow e começar a implementação da funcionalidade.
Links:
https://medium.com/@dehhmesquita/classificando-textos-com-redes-neurais-e-tensorflow-5063784a1…
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NOTE: before learning this, learn JavaScript first!
Goal 1: you need to learn the functional principles (higher order functions, closures, etc.). It is not the goal of learning Scala!
Goal 2: co…