Object-Centric Learning with Slot Attention
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Frank
- July 1, 2020
- AI
- artificial intelligence
- Arxiv
- attention
- attention mechanism
- capsules
- clevr
- CNN
- Convolutional Neural Network
- Deep Learning
- detr
- disentanglement
- embeddings
- encoder
- ethz
- explained
- gru
- LSTM
- Machine Learning
- Neural Networks
- objects
- Paper
- permutation invariant
- render
- routing
- set
- slots
- tetris
- transformer
- vision
- weight sharing
Visual scenes are often comprised of sets of independent objects. Yet, current vision models make no assumptions about the nature of the pictures they look at. Yannic Kilcher explore a paper on object-centric learning. By imposing an objectness prior, this paper a module that is able to recognize permutation-invariant sets of objects from pixels in […]
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Best Options for Database Migration using Azure Migrate
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Frank
- July 1, 2020
- azure database
- azure migrate
- azure migration
- azure migration assessment tool
- azure migration tool
- azure migration tutorial
- Azure SQL
- azure sql database
- azure sql server
- Azure Virtual Machine
- azure virtual machines
- azure vm
- Bob Ward
- microsft vm
- microsoft azure services
- microsoft azure sql database
- microsoft migrate
- microsoft migration
- microsoft sql
- microsoft sql server
- migrate to azure
- ms sql
- ms sql server
- mssql
- SQL Server
Microsoft Mechanics has SQL Server guru and recent Data Driven guest, Bob Ward on to talk about Azure Migrate. Running SQL Server on-premises and looking to move to Azure? Review your best options for assessment and migration. Bob Ward, SQL Server database expert and engineering lead, joins host Jeremy Chapman to walk through different migration […]
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Privacy-preserving machine learning assuages infosec fears
If you’re a regular visitor to this blog, then you know that the use of machine learning and AI technologies rapidly on the rise and has been for a while now. This growth mirrors the increasing use of cloud service environments to leverage mass-scale computing resources. Large cloud service providers offer ready-made machine learning and […]
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Implementation of End To End Kaggle Machine Learning Project With Deployment
Krish Naik live codes an end to end implementation of a Kaggle machine learning project. Related resources: code: https://github.com/krishnaik06/Car-Price-Prediction Dataset: https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho
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Azure Synapse, Predictive Maintenance, Safety, and Efficiency at GE Aviation
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Frank
- July 1, 2020
- Azure Data Warehouse
- Azure SQL Data Warehouse
- Azure Synapse
- Azure Synapse Analytics
- azure warehouse
- Big Data
- big data processing
- Data Analytics
- data analytics tools
- Data Warehouse
- data warehouse architecture
- Data Warehousing
- microsoft azure analytics
- microsoft azure data warehouse
- microsoft azure sql data warehouse
- predictive maintenance
- predictive maintenance data
- predictive maintenance machine learning
- predictive maintenance technology
- processing data
Microsoft Mechanics shows us a practical use case for Predictive Maintenance, Safety, and Efficiency through Microsoft Azure Synapse. Find out how Azure Synapse is part of the next-generation data and analytics platform for global aviation tech company, GE Aviation. Jeremy Chapman speaks with Luke Bowman, Senior Product Manager at GE Aviation’s Digital Group, to discuss […]
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