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Multi-Label Classification
Multi-Label Classification The Data Sidebar: Pandas and DataFrames End sidebar Constructing a DataBlock Binary Cross-Entropy Multi-Label Classification Multi-label classif... -
Style Guide
Jeremy’s notes on fastai coding style Jeremy’s notes on fastai coding style Style guide Symbol naming Layout Algorithms Other stuff Documentation FAQ Jeremy’s notes on ... -
Core
Core vision Helpers None [source] Image.n_px None [source] Image.shape None [source] Image.aspect Image.reshape [source] Image.to_bytes_format [source] Image.t... -
ML ONNX
MLOnnx Example Methods MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ONNX. Example See the link below for a detailed example. Notebook Descr... -
FAQ
FAQ Questions Common issues FAQ Below is a list of frequently asked questions and common issues encountered. Questions Question What models are recommended? Answer S... -
模型转换工具 X2Paddle
模型转换工具 X2Paddle 安装 使用 Caffe TensorFlow ONNX 转换结果说明 问题反馈 模型转换工具 X2Paddle X2Paddle可以将caffe、tensorflow、onnx模型转换成Paddle支持的模型。目前支持版本为caffe 1.0；tensorflow 1.x，推荐1.4.0；ONNX 1.6... -
Style Guide
Jeremy’s notes on fastai coding style Style guide Symbol naming Layout Algorithms Other stuff Documentation FAQ Jeremy’s notes on fastai coding style This is a brief dis... -
ML ONNX
MLOnnx Example Methods __call__(self, model, task='default', output=None, opset=12) special MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ON... -
ML ONNX
MLOnnx Example Methods __call__(self, model, task='default', output=None, opset=12) special MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ON... -
前言
前言 前言 2018年3月30日，Google在加州山景城举行了第二届TensorFlow Dev Summit开发者峰会，并宣布正式发布TensorFlow 1.8版本。笔者有幸获得Google的资助亲临峰会现场，见证了这一具有里程碑式意义的新版本发布。众多新功能的加入和支持展示了TensorFlow的雄心壮志，同时早在2017年秋就开始测试的Ea...