Training callbacks class ShortEpochCallback [source] class GradientAccumulation [source] class GradientClip [source] BnFreeze set_bn_eval [source] class BnFreeze ...

Distributed and parallel training Parallel DataParallel.reset [source] class ParallelTrainer [source] Learner.to_parallel [source] Learner.detach_parallel [source] Le...

Automatic differentiation package - torch.autograd torch.autograd.backward(variables, grad_variables, retain_variables=False) Variable API 兼容性 In-place operations on Variables ...

torchvision.models 译者署名 torchvision.models torchvision.models 模块的 子模块中包含以下模型结构。 AlexNet VGG ResNet SqueezeNet DenseNet 可以通过调用构造函数来构造具有随机权重的模型： import torchvision . m...

Custom ItemList Customizing datasets in fastai Links with the data block API Creating a custom ItemBase subclassBasic attributes Example: ImageTuple Creating a custom Item...

OpenSearch-provided pretrained models Supported pretrained models Sentence transformers Sparse encoding models Cross-encoder models Prerequisites Step 1: Register a model grou...

Improving the RNN Maintaining the State of an RNN Creating More Signal Improving the RNN Looking at the code for our RNN, one thing that seems problematic is that we are init...

Examples Semantic Search Pipelines Workflows Model Training Applications Examples The examples directory has a series of notebooks and applications giving an overview of...

GPUs Custom Computations High Level Collections DataFrames Arrays Scikit-Learn Setup Restricting Work Specifying GPUs per Machine Work in Progress GPUs Dask works with...

5.10 批量归一化 5.10.1 批量归一化层 5.10.1.1 对全连接层做批量归一化 5.10.1.2 对卷积层做批量归一化 5.10.1.3 预测时的批量归一化 5.10.2 从零开始实现 5.10.2.1 使用批量归一化层的LeNet 5.10.3 简洁实现 小结 参考文献 5.10 批量归一化 本节我们介绍批量归一化（b...