2016 中国用户大会 PostgreSQL Base Vision Greenplum in the long run will be based on latest PostgreSQL Upcoming Roadmap – GPDB 5.0 release upgrade from PG 8.2 to PG 8.3 (2017 time frame) – JSON/JSONB – Full in all cases. Current Status Complex workloads for analytics produce large gains with ORCA Upcoming Roadmap • Parallelizing Union and Union All Queries • Expanding ORCA’s index support to larger Query Execution Vision Dynamic Code Generation is a next gen performance enabling technology Upcoming Roadmap • LLVM Dynamic Code Generation for faster query execution • Dispatcher refactoring for

1The details of our cycle detection strategy are somewhat involved, and will be published in an upcoming paper. 3 3 Results 3.1 Crashes on Startup When their connection to Placement Driver is lost, TiKV TiKV), can dramati- cally speed up convergence. TiDB has a patch adding an initialized flag to the upcoming 3.0.0-rc.3 release; deployment systems could use this flag to ensure full region replication as tidb_disable_txn_auto_retry con- trolled both retry mechanisms. These statements will likely apply to the upcoming release of 3.0.0, but do not reflect the behavior of current GA releases. The transaction documentation

Kotlin 1.9.20 plugin will be included with Android Studio Hedgehog (231) and Iguana (232) in their upcoming releases. New Kotlin K2 compiler updates The Kotlin team at JetBrains is continuing to stabilize 9.20 plugin. Android Studio Hedgehog (231) and Iguana (232) will support Kotlin 1.9.20 in their upcoming releases. The new command–line compiler is available for download on the GitHub release page. Studio Giraffe (223) and Hedgehog (231) in their upcoming releases. The Kotlin 1.9.0 plugin will be included with IntelliJ IDEA 2023.2 in the upcoming releases. New Kotlin K2 compiler updates The Kotlin

27 Fast and small C++ © 2024 Andreas Fertig https://AndreasFertig.com post@AndreasFertig.com 16Upcoming Events Talks ■ Back to Basics: Object-Oriented Programming, CppCon, September 20 ■ Fast and small December 04 Training Classes ■ Modern C++: When Efficiency Matters, CppCon, September 21 - 22 For my upcoming talks you can check https://andreasfertig.com/talks/. For my courses you can check https://andreasfertig

Franziska Panter 5: Franziska Panter 33: Franziska Panter Andreas Fertig v1.0 Back to Basics 32 Upcoming Events Talks ■ Fast and small C++ - When efficiency matters, Meeting C++, November 16 ■ Fast December 04 Training Classes ■ Modern C++: When Efficiency Matters, CppCon, September 21 - 22 For my upcoming talks you can check https://andreasfertig.com/talks/. For my courses you can check https://andreasfertig

functions like L1 regularizer, L2 regularizer, etc., Let us learn Keras modules in detail in the upcoming chapter. Keras 20 As we learned earlier, Keras modules contains pre-defined model. We still need to evaluate the model and predict output for unknown input, which we learn in upcoming chapter. import keras from keras.datasets import mnist from keras.models import Sequential loaded, we can immediately use it for prediction purpose. Let us check each pre-trained model in the upcoming chapters. 15. Keras ― Applications Keras 89 ResNet is a pre-trained model

10References Images: 22: Franziska Panter Andreas Fertig v1.0 B2B: C++ Templates 21 Upcoming Events For my upcoming talks you can check https://andreasfertig.info/talks/. For my training services you

Part 1 © 2020 Andreas Fertig https://AndreasFertig.Info post@AndreasFertig.Info 16Upcoming Events For my upcoming talks you can check https://andreasfertig.info/talks/. For my training services you

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