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AI(人工知能) 2019.01.26 2019.01.27 cedro PyTorch 学習済みモデルでサクッと物体検出をしてみる

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k-fold Cross Validation Does Not Work For Time Series Data and Techniques That You Can Use Instead. The goal of time series forecasting is to make accurate predictions about the future. The fast and powerful methods that we rely on in machine learning, such as using train-test splits and k-fold cross validation, do not work […] PyTorchにはTransformDatasetはありません(CPMにはcpm.TransformDatasetとして存在します)。 Iterator chainer.iterators.* DataLoader : Chainer's Iterator とは異なり、DataLoader はデフォルトではすべてのサンプルを自動的に 1 つの Tensor に照合します。

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The above model is not yet a PyTorch Forecasting model but it is easy to get there. As this is a simple model, we will use the BaseModel.This base class is modified LightningModule with pre-defined hooks for training and validating time series models.

Pytorch 에 대한 기본 지식, nn.Module, nn.Sequential, torch.nn parameter class들로 커스텀 구조를 어떻게 구현하는지에 대한 지식도 포함한다. Pytorch에서 이미지를 다루는 방법; Defining The Network. 이전에도 언급했듯이, Pytorch에서 커스텀 구조를 만들기 위해 nn.Module 을 사용한다 ...