Apache SINGA培训

SINGA 是个分布式深度学习平台。

Apache SINGA大纲

代码 名字 时长 概览
singa Mastering Apache SINGA 21小时 SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. Audience This course is directed at researchers, engineers and developers seeking to utilize Apache SINGA as a deep learning framework. After completing this course, delegates will: understand SINGA’s structure and deployment mechanisms be able to carry out installation / production environment / architecture tasks and configuration be able to assess code quality, perform debugging, monitoring be able to implement advanced production like training models, embedding terms, building graphs and logging  
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支持各种流行的深度学习模型,即包括卷积神经网络(CNN)的前馈模型,受限玻尔兹曼机(RBM)和递归神经网络(RNN)等能量模型。 为用户提供了许多内置的图层。 SINGA架构足够灵活地运行同步,异步和混合培训框架。 它采用基于图层抽象的直观编程模型进行设计。 SINGA是一个通用的分布式深度学习平台,用于在大型数据集上训练大型深度学习模型。