{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":310,"pdf_page":326,"physical_index":326,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"9b77f8dc584879bb6396c42790eedfe87713f9659ddcafe6672fd537a6ae0b38"},"chapter":"第10章","content":"通过在非线性上堆叠非线性，我们能够对输入和预测输出之间极其复杂的关系进行建模。下面我们来看一些常见的激活函数。S型激活函数将“加权和”转换为介于0和1之间的值。\n\n$$\nF ( x ) = { \\frac { 1 } { 1 + e ^ { - x } } }\n$$\n\n曲线图如图10-7所示。\n\n10.1.3 ReLU\n\n相较于S型函数等平滑函数，以下修正线性单元激活函数（ReLU）的效果通常要好一点，同时还非常易于计算。\n\n$$\nF ( x ) = m a x ( 0 , x )\n$$\n\nReLU是一种常用的非线性激活函数。如图10-8所示，它会接受线性函数，并在零值处将其截断。若返回值在零值以上，则为线性函数。若函数返回值小于零，则输出为零。这是一\n\n人工智能与大数据技术导论\n\n310","previous_page":309,"next_page":311}