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  • 5.10. 表示学习

    1. 表示学习 1.1. 算法说明 1.2. 训练节点 输入 输出 算法参数 1.3. 预测节点 输入 输出 1. 表示学习 1.1. 算法说明 BRNN Encoder(Bidirectational Recurrent Neural Network Encoder) 是基于 RNN(Recurrent Neural Ne...
  • Reference Overview

    Reference Overview TFJob PyTorchJob MPIJob Notebook Katib Reference Overview Reference documentation for Kubeflow APIs and services. TFJob TFJob is a Kubernetes custom ...
  • torch.nn.init

    torch.nn.init torch.nn.init 译者:GeneZC torch . nn . init . calculate_gain ( nonlinearity , param = None ) 返回给定非线性函数的推荐的增益值。对应关系如下表: 非线性函数 增益 Linear / Identit...
  • Architectures

    Architectures Architecture NetworkWrapper Architectures Architectures contain all the classes that implement the neural network related stuff for the agent.Since Coach is int...
  • Cross-Entropy Loss

    610 2021-03-31 《The fastai book》
    Cross-Entropy Loss Viewing Activations and Labels Softmax Log Likelihood Taking the Log Cross-Entropy Loss Cross-entropy loss is a loss function that is similar to the one ...
  • Hybrid search

    Hybrid search Using hybrid search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Configure a search pip...
  • Beyond Deep Learning

    908 2021-03-31 《The fastai book》
    Beyond Deep Learning Beyond Deep Learning Most machine learning courses will throw dozens of different algorithms at you, with a brief technical description of the math behind ...
  • 2.2 Taxonomy of Interpretability Methods

    2.2 Taxonomy of Interpretability Methods 2.2 Taxonomy of Interpretability Methods Methods for machine learning interpretability can be classified according to various criteria....
  • Model Zoo

    Caffe Model Zoo Where to get trained models Model info format Hosting model info Hosting trained models BAIR model license Caffe Model Zoo Lots of researchers and engineer...
  • torch.nn.init

    1541 2018-04-07 《PyTorch中文文档》
    torch.nn.init torch.nn.init torch . nn . init . calculate_gain ( nonlinearity , param = None ) 对于给定的非线性函数,返回推荐的增益值。这些值如下所示: nonlinearity gain linear 1 conv{1,...