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Hi Tim,
Seeing this gave me an idea for a post-PhD project, which could be a possible sequel or companion book on the web and arxiv on DNNs in particular, i.e. "Deep Learning for Biodiversity Scien…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Issue Description
do wound classification using deep learning (DL) which leverages convolutional neural networ…
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Discussions and/or suggestions are welcome!
- Interface
- Network architecture visualization
- Recurrent Neural Networks
- Infrastructure
- [ ] CUDA Stream
- [ ] Multi-GPU support
- [x] 4D t…
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摘要 ：
和之前的方法将物体检测视为分类的方法不同，yolo将物体检测作为回归问题进行处理；
一个单独的神经网络就可以将物体目标框和分类问题直接从全图中在一次测量中完成，实现端到端的检测。
yolo可以实现每秒45帧图片的测量，不会经常将背景误判为物体，但是定位精度略微差一些。
并且yolo可以较好的实现一般物体的检测，更加通用。
简介：
使用分类器的方法：
dpm使用滑动窗口的…
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### Project Title: **Predicting Antibiotic Resistance Mechanisms with DeepChem**
### Project Description
Develop a deep learning model in the DeepChem framework to predict the mechanisms of antibi…
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Is your feature request related to a problem? Please describe.
Wound classification using deep learning (DL) leverages convolutional neural networks (CNNs) to accurately analyze and classify wound im…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Butterfly Image Classification
:red_circle: **Aim** : To classify 75 different classes of Butterflies.
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https://github.com/h2oai/h2o-llm/blob/5eccc3fadc58384f7cffe2769ed5dd5176d84d6e/generate.py#L496-L527
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**Overview** :
The aim is to develop a predictive model for classifying Chest X-ray images as pneumonia-affected or not.
Classes:
- Normal
- Pneumonia
- Bacterial [ Future scope ]
- Vi…
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Rocco[1] 等人在其弱监督语义级别图像匹配的工作中，将特征匹配与随机采样一致性算法（RANdom SAmple Consensus, RANSAC）联系在一起，提出了一个可微分的基于语义的评分损失函数，文中对于语义特征匹配和 RANSAC 算法的阐述令人耳目一新，遂作此文对相关概念追本溯源。
## 随机采样一致性（RANSAC）
真实世界的数据往往充满各种各样的噪声，如果想得到足够鲁…