Deep CNNs for Diabetic Retinopathy Detection筆記
Deep CNNs for Diabetic Retinopathy Detection筆記 1.主要工作 使用卷積神經網絡實現DR的兩種分類（都是2分類模型）； 2.數據集 Kaggle an epoch was set to 2000 training examples number of postive(眼底正常類) and negative(1-4級非正常類) examples are e
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相關文章
- 1. Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
- 2. Pushing the Limits of Deep CNNs for Pedestrian Detection
- 3. Detection Algorithms for Communication Systems Using Deep Learning筆記
- 4. 論文筆記: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
- 5. 【論文閱讀筆記】HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
- 6. HetConv--Heterogeneous-Kernel-Based-Convolutions-for-Deep-CNNs
- 7. 【論文閱讀筆記】CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- 8. Deep Neural Networks for Object Detection
- 9. Deep Feature Pyramid Reconfiguration for Object Detection
- 10. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection