Mlearning.ai

JUNE 22, 2023

Understanding the biggest neural network in Deep Learning Join 34K+ People and get the most important ideas in AI and Machine Learning delivered to your inbox for free here Deep learning with transformers has revolutionized the field of machine learning, offering various models with distinct features and capabilities.

Auto-classification 52

Auto-classification Auto-complete BERT Deep Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

AWS Machine Learning Blog

MAY 31, 2023

PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime. Be sure to try it out!

ML 83

ML Auto-classification Auto-complete Natural Language Processing 83

The MLOps Blog

JUNE 27, 2023

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

The Stanford AI Lab Blog

MARCH 28, 2022

What sets this challenge apart from any other reinforcement learning problems is the fact that a classification needs to be made at the end of this agent’s interaction with this MDP — the decision of whether the MDP is the same as the reference MDP or not. Figure 7 : Performance of different bug classification models with different RL agents.

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Algorithm Auto-classification Automation Auto-complete 52