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2024.07.22. ~ 2024.08.31. 동안 아래와 같이 학습하여 AI를 체화시키자.
- **일주일에 3개 이상씩 UCI dataset 혹은 plotly에 있는 데이터를 하나 선정하여 classification or regression을 연습할 것**
- 최소 100개의 records가 포함된 dataset
- 모델은 최소 3개 …
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Do you have any plan to fix `--bf16` option since it does not affect convolutional layers and those remain tf32? We succeeded bfloat16 quantization by setting `precisionConstraints` and `layerPrecisio…
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**Abstract:**
> The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also conn…
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Hi, thank you for this awesome repo. I am trying to get the GradCAM for the CCT (Compact Convolutional Transformer) taken from [here](https://github.com/SHI-Labs/Compact-Transformers). I give the mode…
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## ❓ Questions and Help
### Before asking:
1. search the issues.
2. search the docs.
#### What is your question?
In the paper "Transformers with convolutional context for ASR"…
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# speech recognition
- Soltau, Hagen, Hank Liao, and Hasim Sak. "Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition." arXiv preprint arXiv:1610.09975 (201…
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3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …
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## 🐞Describing the bug
The output of converted Coreml model and original Pytorch model is different. Obvious mismatch is observed. I also notice that there are some similar issues that have been prop…
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- 스터디 일시: 2021.08.18
- 참여자: 고예슬, 김다혜, 서원국, 선승현, 신윤서
- ice breaking
- 자기소개
- 스터디 참가 이유
## 스터디
### Learning Objectives
- Discuss the major trends driving the rise of deep learning.
- Expla…
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### Model description
# Escaping the Big Data Paradigm with Compact Transformers
Abstract :
> With the rise of Transformers as the standard for language processing, and their advancements in …