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gru_unit
gru_unit gru_unit paddle.fluid.layers. gru_unit (input, hidden, size, param_attr=None, bias_attr=None, activation='tanh', gate_activation='sigmoid', origin_mode=False)[源代码] ... -
模型导出ONNX协议
模型导出ONNX协议 一、简介 二、模型导出为ONNX协议 2.1 动态图导出ONNX协议 2.2 静态图导出ONNX协议 三、ONNX模型的验证 四、ONNXRuntime推理 五、相关链接 模型导出ONNX协议 一、简介 ONNX (Open Neural Network Exchange) 是针对机器学习所设计的开源文件格式，... -
8.1 The Future of Machine Learning
8.1 The Future of Machine Learning 8.1 The Future of Machine Learning Without machine learning there can be no interpretable machine learning. Therefore we have to guess where ... -
2-3 Automatic Differentiate
2-3 Automatic Differentiate 1. Calculate the Derivative Using the Gradient Tape 2. Calculate the Minimal Value Through the Gradient Tape and the Optimizer 2-3 Automatic Diffe... -
Frequently Asked Questions
MLeap Frequently Asked Questions Does MLeap Support Custom Transformers? What is MLeap Runtime’s Inference Performance? MLeap Random Forest Transform Speed: Run Our Benchmarks ... -
How To Guide
Deeplearning4j on Spark: How To Guides Before Training - How-To Guides How to build an uber-JAR for training via Spark submit using Maven How to use GPUs for training on Spark H... -
Examples
Examples Semantic Search LLM Pipelines Workflows Model Training Scale Architecture Releases Applications Examples See below for a comprehensive series of example not... -
自定义层、损失函数和评估指标 *
自定义层、损失函数和评估指标 * 自定义层 自定义损失函数和评估指标 自定义层、损失函数和评估指标 * 可能你还会问，如果现有的这些层无法满足我的要求，我需要定义自己的层怎么办？事实上，我们不仅可以继承 tf.keras.Model 编写自己的模型类，也可以继承 tf.keras.layers.Layer 编写自己的层。 自定义层 自定...