{"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":470,"pdf_page":486,"physical_index":486,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"bf836b873edc4dc14215f9b72cedab87865425cf7439d03fd8fb8312eaf7c9ab"},"chapter":"第16章","content":"T\n\n目标（target)\n\n标签的同义词。\n\n时态数据(temporal data)\n\n在不同时间点记录的数据。例如，记录的一年中每一天的冬外套销量就属于时态数据。\n\n张量(Tensor)\n\nTensorFlow程序中的主要数据结构。张量是N维（其中N可能非常大）数据结构，最常见的是标量、向量或矩阵。张量的元素可以包含整数值、浮点值或字符串值。\n\n张量处理单元(Tensor Processing Unit，TPU)\n\n一种ASIC（应用专用集成电路），用于优化TensorFlow程序的性能。\n\n张量等级（Tensor rank）\n\n可参阅等级。\n\n张量形状(Tensor shape)\n\n张量在各种维度中包含的元素数。例如，张量[5,10]在一个维度中的形状为5，在另一个维度中的形状为10。\n\n张量大小(Tensor size)\n\n张量包含的标量总数。例如，张量[5,10]的大小为50。\n\nTensorBoard\n\n一个信息中心，用于显示在执行一个或多个TensorFlow程序期间保存的摘要信息。\n\nTensorFlow\n\n一个大型的分布式机器学习平台。该术语还指TensorFlow堆栈中的基本API层，该层支持对数据流图进行一般计算。虽然TensorFlow主要应用于机器学习领域，但也可用于需要使用数据流图进行数值计算的非机器学习任务。\n\nTensorFlowPlayground\n\n一款用于直观呈现不同的超参数对模型（主要是神经网络）训练的影响的程序。要试用TensorFlow Playground,可前往 http://playground.tensorflow.org。\n\nTensorFlow Serving\n\n一个平台，用于将训练过的模型部署到生产环境。\n\n人工智能与大数据技术导论\n\n470","previous_page":469,"next_page":471}