PyTorch three mainstream model construction methods: nn.Sequential, nn.Module subclass, nn.Module container development practice, taking real smoke recognition scene data as an example - Code World

PyTorch three mainstream model construction methods: nn.Sequential, nn.Module subclass, nn.Module container development practice, taking real smoke recognition scene data as an example

Enterprise 2023-09-08 19:34:03 views: null

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Origin blog.csdn.net/Together_CZ/article/details/132428194

PyTorch three mainstream model construction methods: nn.Sequential, nn.Module subclass, nn.Module container development practice, taking real smoke recognition scene data as an example

Keras three mainstream model construction methods: sequence model, function model, subclass model development practice, taking real smoke recognition scene data as an example

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PyTorch study notes 2: nn.Module, optimizer, model saving and loading, TensorBoard

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class MultiScaleRoIAlign(nn.Module):

Introduction to nn.Sequential, nn.ModuleList, nn.ModuleDict of pytorch container

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PyTorch 源码解读之 nn.Module：核心网络模块接口详解

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класс MultiScaleRoIAlign(nn.Module):

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Klasse MultiScaleRoIAlign(nn.Module):

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