榜单
服务器优惠
AI论文
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Best Practices
Best Practices Start Small Use The Dashboard Avoid Very Large Partitions Avoid Very Large Graphs Learn Techniques For Customization Stop Using Dask When No Longer Needed Pers... -
3.2. Tuning the hyper-parameters of an estimator
3.2. Tuning the hyper-parameters of an estimator 3.2.1. Exhaustive Grid Search 3.2.2. Randomized Parameter Optimization 3.2.3. Tips for parameter search 3.2.3.1. Specifying an ob... -
Examples
Examples Semantic Search Pipelines Workflows Model Training Applications Examples The examples directory has a series of notebooks and applications giving an overview of... -
3.2. 调整估计器的超参数
3.2. 调整估计器的超参数 3.2. 调整估计器的超参数 3.2.1. 网格追踪法–穷尽的网格搜索 3.2.2. 随机参数优化 3.2.3. 参数搜索技巧 3.2.3.1. 指定目标度量 3.2.3.2. 为评估指定多个指标 3.2.3.3. 复合估计和参数空间 3.2.3.4. 模型选择：开发和评估 3.2.3.5. 并行机制 3.2.3... -
Mobile Network Modeling
Mobile Network Modeling Who am I? The problem I’m trying to solve How Dask helps Distributed computing and Dask delayed Dask Dataframe Pain points when using dask Technology ... -
相关资源
TensorFlow 相关资源 TensorFlow 相关资源 Google官方Blog宣布TensorFlow开源 TensorFlow WhitePaper(PDF下载) Jeff Dean 介绍 TensorFlow（视频） TensorFlow 简化版接口 Scikit Flow TensorFlow 使用样例 TensorFlo... -
Transformers
Transformer 特征提取 回归 分类 聚类 其他类型的 Transformer Transformer Transformer 是机器学习 Pipeline 执行的基本单元。一个 Transformer 以一帧 Data Frame 作为输入，执行某些转换操作，输出包含一个或者多个新字段的数据到原来的 Data Frame 中。虽然... -
2.9. Neural network models (unsupervised)
2.9. Neural network models (unsupervised) 2.9.1. Restricted Boltzmann machines 2.9.1.1. Graphical model and parametrization 2.9.1.2. Bernoulli Restricted Boltzmann machines 2.9.1...