榜单
IT文库
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1-2 Example: Modeling Procedure for Images
1-2 Example: Modeling Procedure for Images 1. Data Preparation 2. Model Definition 3. Model Training 4. Model Evaluation 5. Model Application 6. Model Saving 1-2 Example:... -
管理Docker容器数据卷
管理容器中数据 数据卷 添加一个数据卷 挂载主机的目录作为数据卷 挂载主机文件作为数据卷 创建和挂载数据卷container 备份，还原和转移数据卷 下一节 管理容器中数据 到目前为止，我们已经了解Docker的基本概念，了解Docker images，也学会到了container与container之间的网路和链接。在这一节，我们将讨... -
RNN
Recurrent Neural Networks in DL4J The Basics: Data and Network Configuration Data for RNNs RnnOutputLayer RNN Training Features Truncated Back Propagation Through Time Masking... -
User Guide
User Guide Command Line Interface train predict test experiment visualize collect_weights collect_activations serve Example curl File Text Both Text and File Data Pre... -
Configure Kubeflow Fairing
Configure Kubeflow Fairing Out of date Prerequisites Using Kubeflow Fairing with Kubeflow notebooks Configure Docker with access to your container image registry Configure acc... -
Configure Kubeflow Fairing
Configure Kubeflow Fairing Out of date Prerequisites Using Kubeflow Fairing with Kubeflow notebooks Configure Docker with access to your container image registry Configure acc... -
Dictionary Compression
Purpose Usage Implementation Purpose Dynamic dictionary compression algorithms have trouble compressing small data. With default usage, the compression dictionary starts off e... -
3.4. Model persistence
3.4. Model persistence 3.4.1. Persistence example 3.4.2. Security & maintainability limitations 3.4. Model persistence After training a scikit-learn model, it is desirable to... -
Datasets
Datasets Datasets As you get familiar with Machine Learning and Neural Networks you will want to use datasets that have been provided by academia, industry, government, and eve... -
Getting Started
Getting Started Expectations Your Buddy Setting Up Your Machine Getting Started Expectations Getting started at Basecamp can be overwhelming. There are a lot of little det...