Difference between revisions of "Directed Acyclic Graph (DAG)"
| Line 15: | Line 15: | ||
* [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] | * [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] | ||
** [http://github.com/d6t/d6tflow/blob/master/docs/example-ml.md Example Usage For a Machine Learning Workflow | GitHub] | ** [http://github.com/d6t/d6tflow/blob/master/docs/example-ml.md Example Usage For a Machine Learning Workflow | GitHub] | ||
| + | |||
| + | 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. | DAG workflow are set of tasks written with dependencies between the tasks rather than linearly chaining. | ||
| − | http://www. | + | http://www.mathworks.com/help/examples/nnet/win64/CreateSimpleDAGNetworkExample_03.png |
<youtube>LOr_abIZL04</youtube> | <youtube>LOr_abIZL04</youtube> | ||
Revision as of 09:49, 3 March 2019
YouTube search... ...Google search
- 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)
- 4 Reasons Why Your Machine Learning Code is Probably Bad - Norman Niemer - KDnuggets
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.
DAG Technology: 'DAG Coins' as an Alternative to Blockchain/Cryptocurrencies
