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  • 9.2 微调

    9.2 微调 9.2.1 热狗识别 9.2.1.1 获取数据集 9.2.1.2 定义和初始化模型 9.2.1.3 微调模型 小结 9.2 微调 在前面的一些章节中,我们介绍了如何在只有6万张图像的Fashion-MNIST训练数据集上训练模型。我们还描述了学术界当下使用最广泛的大规模图像数据集ImageNet,它有超过1,000万的图像和1...
  • Building Python function-based components

    Building Python function-based components Before you begin Getting started with Python function-based components Building Python function-based components Using and installing Py...
  • Building Python function-based components

    Building Python function-based components Before you begin Getting started with Python function-based components Building Python function-based components Using and installing Py...
  • layers

    layers Model Layers Custom fastai modules class AdaptiveConcatPool2d [source] [test] class Lambda [source] [test] class Flatten [source] [test] PoolFlatten [source] ...
  • 10.8 文本情感分类:使用卷积神经网络(textCNN)

    10.8 文本情感分类:使用卷积神经网络(textCNN) 10.8.1 一维卷积层 10.8.2 时序最大池化层 10.8.3 读取和预处理IMDb数据集 10.8.4 textCNN模型 10.8.4.1 加载预训练的词向量 10.8.4.2 训练并评价模型 小结 参考文献 10.8 文本情感分类:使用卷积神经网络(textCNN...
  • Data

    Text data Backwards reverse_text [source] Numericalizing make_vocab [source] class TensorText [source] class LMTensorText [source] class Numericalize [source] ...
  • Testing

    Testing fastai Quick Guide Handy things Automated tests Running Tests Choosing which tests to run Run all Run specific test module Run specific tests Run only modified tests ...