Difference between revisions of "Directed Acyclic Graph (DAG)"
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* [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | * [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | ||
* [[Platforms: Machine Learning as a Service (MLaaS)]] | * [[Platforms: Machine Learning as a Service (MLaaS)]] | ||
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A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers. [http://www.mathworks.com/help/deeplearning/ref/dagnetwork.html DAGNetwork | MathWorks] | A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers. [http://www.mathworks.com/help/deeplearning/ref/dagnetwork.html DAGNetwork | MathWorks] | ||
| − | + | DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. [http://www.kdnuggets.com/2019/02/4-reasons-machine-learning-code-probably-bad.html 4 Reasons Why Your Machine Learning Code is Probably Bad - Norman Niemer - KDnuggets] | |
| − | DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. | + | ** [http://github.com/d6t/d6tflow/blob/master/docs/example-ml.md Example Usage For a Machine Learning Workflow | GitHub] |
http://www.mathworks.com/help/examples/nnet/win64/CreateSimpleDAGNetworkExample_03.png | http://www.mathworks.com/help/examples/nnet/win64/CreateSimpleDAGNetworkExample_03.png | ||
Revision as of 09:50, 3 March 2019
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- The Key to Building Data Pipelines for Machine Learning: Support for Multiple Engines | Jorge Villamariona - Qubole
- Running Arbitrary DAG-based Workflows in the Cloud | Sachin Tilloo
- Data Flow Graph (DFG)
- Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning
- Platforms: Machine Learning as a Service (MLaaS)
A DAG network is a neural network for deep learning with layers arranged as a directed acyclic graph. A DAG network can have a more complex architecture in which layers have inputs from multiple layers and outputs to multiple layers. DAGNetwork | MathWorks
DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. 4 Reasons Why Your Machine Learning Code is Probably Bad - Norman Niemer - KDnuggets
DAG Technology: 'DAG Coins' as an Alternative to Blockchain/Cryptocurrencies
