榜单
服务器优惠
AI论文
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Text chunking
Text chunking processor Configuration parameters Fixed token length algorithm Delimiter algorithm Using the processor Response Cascaded text chunking processors Next steps ... -
LocalResponseNorm
LocalResponseNorm 参数 形状 代码示例 LocalResponseNorm paddle.nn. LocalResponseNorm ( size, alpha=0.0001, beta=0.75, k=1.0, data_format=’NCHW’, name=None ) [源代码] 局部响应正则化（Local Res... -
激活函数 Activations
激活函数的用法 预定义激活函数 softmax elu selu softplus softsign relu tanh sigmoid hard_sigmoid linear 高级激活函数 激活函数的用法 激活函数可以通过设置单独的激活层实现，也可以在构造层对象时通过传递activation 参数实现 from kera... -
Getting Started
Getting Started Typical MLeap Workflow Training Serialization Execution Components MLeap Spark MLeap Scikit MLeap Bundle MLeap Runtime Getting Started Whether using ML... -
Use Cases
Use Cases Semantic Search LLM Orchestration Chains Retrieval augmented generation Language Model Workflows Use Cases The following sections introduce common txtai use cases... -
2.3 Scope of Interpretability
2.3 Scope of Interpretability 2.3.1 Algorithm Transparency 2.3.2 Global, Holistic Model Interpretability 2.3.3 Global Model Interpretability on a Modular Level 2.3.4 Local Inter... -
Addition RNN
An implementation of sequence to sequence learning for performing addition An implementation of sequence to sequence learning for performing addition Input: "535+61"Output: "59... -
Text chunking
Text chunking processor Configuration parameters Fixed token length algorithm Delimiter algorithm Using the processor Response Cascaded text chunking processors Next steps ... -
使用 PyTorch 进行图像风格转换
使用PyTorch进行图像风格转换 简介 基本原理 导包并选择设备 加载图片 损失函数 内容损失 风格损失 导入模型 梯度下降 使用PyTorch进行图像风格转换 译者：bdqfork 作者 : Alexis Jacq 简介 本教程主要讲解如何实现由Leon A. Gatys，Alexander S. Ecker和... -
如何在Keras中使用VisualDL
如何在Keras中使用VisualDL 如何在Keras中使用VisualDL 下面我们演示一下如何在Keras中使用VisualDL，从而可以把Keras的训练过程可视化出来。我们将以Keras用卷积神经网络(CNN, Convolutional Neural Network)来训练MNIST 数据集作为例子。 程序的主体来自Keras的官方G...