Deep learningを使った生成モデルの中でも、VAEとその拡張であるCVAE、IWAE、ADGMの導出と理論の話。
ADGMについては、論文がラベルありについての導出がメインなので、ラベルなしの場合のグラフィカルモデルを作って定式化し導出過程を説明。
VAEは実装できるけどどういう理論でできてるかわからないとか、どうやって拡張するか、ADGMの実装をどうすればいいかわからない人向け。
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
Polyhedral compilation uses the polyhedral model to represent programs as systems of affine inequalities over iteration variables. This allows loop transformations like fusion, distribution, skewing and reversal to be expressed as affine mappings on the iteration space. The key aspects are representing the iteration domain, scheduling functions that determine the execution order of statements, and memory accesses in terms of iteration vectors. Loop transformations are specified by changing the scheduling functions to map iterations to new logical execution times while preserving semantics. This enables optimizations at the level of whole programs or subprograms.
Warum NoSQL? Wann macht der Einsatz von NoSQL Datenbanken Sinn?Regina Holzapfel
Über einen Einsatz einer NoSQL-Datenbank (Not only SQL = nicht nur SQL) sollte überall dort nachgedacht werden, wo eine SQL-Datenbank an ihre Grenzen stößt oder zur Erfüllung der Aufgabe aufwändige architektonische Anpassungen notwendig wären, wie z. B. die Erstellung eines neuen Datenmodelles. In diesem Vortrag wird auf die spezifischen Unterschiede von NoSQL Datenbanken zu relationalen Datenbanken eingegangen. Darüber hinaus wird vermittelt bei welcher Art von Daten und Anwendungszenarien NoSQL Datenbanken Vorteile bieten. Kostenfreier Download: NoSQL for Dummies Book hier: http://info.marklogic.com/nosql-for-dummies.html. Für Fragen wenden Sie sich bitte an: info@marklogic.com
Deep learningを使った生成モデルの中でも、VAEとその拡張であるCVAE、IWAE、ADGMの導出と理論の話。
ADGMについては、論文がラベルありについての導出がメインなので、ラベルなしの場合のグラフィカルモデルを作って定式化し導出過程を説明。
VAEは実装できるけどどういう理論でできてるかわからないとか、どうやって拡張するか、ADGMの実装をどうすればいいかわからない人向け。
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
Polyhedral compilation uses the polyhedral model to represent programs as systems of affine inequalities over iteration variables. This allows loop transformations like fusion, distribution, skewing and reversal to be expressed as affine mappings on the iteration space. The key aspects are representing the iteration domain, scheduling functions that determine the execution order of statements, and memory accesses in terms of iteration vectors. Loop transformations are specified by changing the scheduling functions to map iterations to new logical execution times while preserving semantics. This enables optimizations at the level of whole programs or subprograms.
Warum NoSQL? Wann macht der Einsatz von NoSQL Datenbanken Sinn?Regina Holzapfel
Über einen Einsatz einer NoSQL-Datenbank (Not only SQL = nicht nur SQL) sollte überall dort nachgedacht werden, wo eine SQL-Datenbank an ihre Grenzen stößt oder zur Erfüllung der Aufgabe aufwändige architektonische Anpassungen notwendig wären, wie z. B. die Erstellung eines neuen Datenmodelles. In diesem Vortrag wird auf die spezifischen Unterschiede von NoSQL Datenbanken zu relationalen Datenbanken eingegangen. Darüber hinaus wird vermittelt bei welcher Art von Daten und Anwendungszenarien NoSQL Datenbanken Vorteile bieten. Kostenfreier Download: NoSQL for Dummies Book hier: http://info.marklogic.com/nosql-for-dummies.html. Für Fragen wenden Sie sich bitte an: info@marklogic.com
【DL輪読会】Universal Trading for Order Execution with Oracle Policy DistillationDeep Learning JP
1. This document summarizes a research paper that proposes a reinforcement learning framework for optimal order execution. It uses an approach called Oracle Policy Distillation to distill knowledge from an optimal "teacher" policy into a "student" policy to improve sample efficiency despite noisy market data.
2. The experiments show that the proposed method can discover effective trading strategies and that Oracle Policy Distillation improves performance compared to baselines. It also finds that the student policy learns more efficient trading patterns than alternatives.
3. In conclusion, the framework can learn universal policies across different financial assets and the Oracle Policy Distillation approach enhances learning from limited market samples. Future work aims to distill policies learned from individual assets into universally applicable policies.
【DL輪読会】Universal Trading for Order Execution with Oracle Policy DistillationDeep Learning JP
1. This document summarizes a research paper that proposes a reinforcement learning framework for optimal order execution. It uses an approach called Oracle Policy Distillation to distill knowledge from an optimal "teacher" policy into a "student" policy to improve sample efficiency despite noisy market data.
2. The experiments show that the proposed method can discover effective trading strategies and that Oracle Policy Distillation improves performance compared to baselines. It also finds that the student policy learns more efficient trading patterns than alternatives.
3. In conclusion, the framework can learn universal policies across different financial assets and the Oracle Policy Distillation approach enhances learning from limited market samples. Future work aims to distill policies learned from individual assets into universally applicable policies.
1. Kirjan tehtävä 48
Tasapainota reaktioyhtälöt ja kirjoita kokonaisreaktion
reaktioyhtälö. Kuinka monta moolia ammoniakkia
tarvitaan, jotta saadaan yksi mooli typpihappoa?
NH3(g) +O2(g) → NO(g) + H2O(g)
NO(g) + O2(g) → NO2(g)
NO2(g) + H2O(l) →HNO3(aq) + NO(g)