{"id":3682,"date":"2024-03-13T07:18:15","date_gmt":"2024-03-13T07:18:15","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/what-are-the-modules-of-the-generative-adversarial-network-in-torch\/"},"modified":"2025-07-30T19:46:23","modified_gmt":"2025-07-30T19:46:23","slug":"what-are-the-modules-of-the-generative-adversarial-network-in-torch","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/what-are-the-modules-of-the-generative-adversarial-network-in-torch\/","title":{"rendered":"Torch GAN Modules Explained"},"content":{"rendered":"

In Torch, there are several commonly used libraries for generating adversarial networks (GAN) modules.<\/p>\n

    \n
  1. successive<\/li>\n
  2. The nn.Linear function<\/li>\n
  3. a two-dimensional convolutional neural network layer<\/li>\n
  4. This refers to a 2-dimensional batch normalization operation.<\/li>\n
  5. Rectified Linear Unit<\/li>\n
  6. Leaky rectified linear unit (ReLU)<\/li>\n
  7. the nn.Sigmoid function<\/li>\n
  8. Binary Cross Entropy Loss<\/li>\n
  9. Mean Absolute Error<\/li>\n
  10. Mean squared error loss<\/li>\n<\/ol>\n

    These modules can be combined together to build a generative adversarial network, where the generator and discriminator are trained to produce samples that closely resemble real data in order to deceive the discriminator.<\/p>\n","protected":false},"excerpt":{"rendered":"

    In Torch, there are several commonly used libraries for generating adversarial networks (GAN) modules. successive The nn.Linear function a two-dimensional convolutional neural network layer This refers to a 2-dimensional batch normalization operation. Rectified Linear Unit Leaky rectified linear unit (ReLU) the nn.Sigmoid function Binary Cross Entropy Loss Mean Absolute Error Mean squared error loss These […]<\/p>\n","protected":false},"author":5,"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":[2358,75,944,1239,942],"class_list":["post-3682","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-gan-modules","tag-machine-learning","tag-neural-networks","tag-pytorch","tag-torch"],"yoast_head":"\nTorch GAN Modules Explained - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn essential Torch GAN modules: nn.Linear, Conv2d, BatchNorm2d, ReLU, LeakyReLU, Sigmoid, and loss functions. 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