Discover and read the best of Twitter Threads about #DataValidation
Most recents (3)
$DAG Nodes are the workhorse of the entire @Conste11ation HGTP ecosystem from L1 networks (dApps) to Global validation nodes.
Next few days I'll cover each different type:
L1 nodes
Hybrid nodes
Validator nodes
Today I'm going to start with L1 or dApps building on the network 👇
Next few days I'll cover each different type:
L1 nodes
Hybrid nodes
Validator nodes
Today I'm going to start with L1 or dApps building on the network 👇
🧵1/ (L1) Nodes 🌐💻: A deep dive into the unique nodes within individual L1 Networks, their role, and how they contribute to the overall Hypergraph ecosystem.
#L1Nodes #DecentralizedNetwork
#L1Nodes #DecentralizedNetwork
2/ L1 nodes are specific to their respective Networks, allowing them to support a wide range of applications and use cases. They differ from Global Validator Nodes, which focus on maintaining the global network.
#Networks #Scalability
#Networks #Scalability
1/10 🌐 Curious about why you would use @Conste11ation $DAG when there are specialized blockchain solutions like @energywebx $EWT and @MNWSupplyChain $MNW? Let's explore how Constellation can complement and enhance these networks! #Constellation #Interoperability
2/10 ⚡ @energywebx $EWT is focused on building a decentralized energy market, and @Conste11ation $DAG can provide secure data pipelines and validation for IoT devices in the energy sector, enhancing data integrity and performance. #EnergyWeb #IoT
3/10 🔄 By integrating with @Conste11ation, @energywebx can benefit from the scalable and secure HyperGraph network, allowing for seamless data exchange between different energy market players and fostering innovation. #HyperGraph #EnergyMarket
✨🧠 The ecosystem that has grown up around @TensorFlow in the last few years blows my mind. There's just so much functionality, compared to some of the other, newer frameworks.
👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?
👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?
1) @TensorFlow Extended (TFX)
It's no secret that I 💕 #TFX and all of its tooling for deploying machine learning models into production. If you care about keeping your models up-to-date and monitoring them, you should check out the product + its paper.
tensorflow.org/tfx/?hl=zh-cn
It's no secret that I 💕 #TFX and all of its tooling for deploying machine learning models into production. If you care about keeping your models up-to-date and monitoring them, you should check out the product + its paper.
tensorflow.org/tfx/?hl=zh-cn
2) @TensorFlow Hub
If you want to train your model on a small data set, or improve generalization, you'll need to use something called transfer learning. #TFHub modules make it easy—and are available in an #OSS marketplace: tfhub.dev.
site: tensorflow.org/hub/
If you want to train your model on a small data set, or improve generalization, you'll need to use something called transfer learning. #TFHub modules make it easy—and are available in an #OSS marketplace: tfhub.dev.
site: tensorflow.org/hub/
