In PyTorch, torch.nn.Module is a base class for building neural network models. By inheriting from the torch.nn.Module class, we can easily define our own neural network models and utilize various functionalities provided by PyTorch to manage the model’s parameters, perform forward propagation, and other operations. The torch.nn.Module class offers common methods such as the forward() method for defining the model’s forward propagation process and the parameters() method for accessing the model’s parameters. By utilizing the torch.nn.Module class, we can more easily construct and manage complex neural network models.<\/p>\n","protected":false},"excerpt":{"rendered":"
In PyTorch, torch.nn.Module is a base class for building neural network models. By inheriting from the torch.nn.Module class, we can easily define our own neural network models and utilize various functionalities provided by PyTorch to manage the model’s parameters, perform forward propagation, and other operations. The torch.nn.Module class offers common methods such as the forward() […]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[960,944,5794,72,1239],"class_list":["post-5341","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-deep-learning","tag-neural-networks","tag-nn-module","tag-python","tag-pytorch"],"yoast_head":"\n