入門練手
DL 基礎(chǔ)教程
tf 1.10實現(xiàn)的deeplab v3逞度， pytorch 0.4實現(xiàn)的deeplab v3+
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經(jīng)典機器學習算法
Tricks
- 【用3行Python代碼將數(shù)據(jù)預(yù)處理加快2-6倍：善用concurrent.futures模塊】《Here’s how you can get a 2–6x speed-up on your data pre-processing with Python》by George Seif 網(wǎng)頁鏈接 pdf:網(wǎng)頁鏈接
- 深度學習產(chǎn)品化部署資料集錦
- python 常見錯誤
baseline
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Evaluation framework for testing segmentation networks in Keras
相關(guān)博文：Why you should start using In-Place Activated BatchNorm - ShelfNet for Real-time semantic segmentation
- High quality, fast, modular reference implementation of SSD in PyTorch 1.0
