#deepprobabilisticai search results
Agree! My favorite analogy for the need of #DeepProbabilisticAI combining #DeepLearning (blackbox, associative) + #BayesianLearning (explicit, logical) is to compare them to Kahneman's dual process of mind, System1 and System2 ("Thinking, Fast and Slow"). hyungilahn.github.io/2018/01/15/dee…
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how DS, AI/ML researchers build Enterprise AI applications. #DPAI #DeepProbabilisticAI #ProbabilisticProgramming #Bayesian
1/3 I often call the Deep Probabilistic AI framework "Thinking, Fast and Slow", as Daniel Kahneman described the human mind in terms of dual process (System 1 and System 2). #DPAI #DeepProbabilisticAI
Great for reading it with other more practical tutorials in PYMC3, Stan, Pyro, Tensorflow Probability, etc #DeepProbabilisticAI #Bayesian #PPL
3/3 Combining Deep and Bayesian approaches opens a new application area for Enterprise AI, called the "Deep Probabilistic AI". This will make our AI mind more similar to how the human mind works. Thinking, Fast and Slow! #DPAI #DeepProbabilisticAI
2/3 Deep learning is similar to System 1 (scalable, associative, intuitive, data-driven, experience-based, affective mind), as Bayesian learning is to System 2 (generative, logical, causal, interpretable, model-based, prediction-based, cognitive mind). #DPAI #DeepProbabilisticAI
#DeepProbabilisticAI provides a Scalable & Predictive Simulation framework that learns from data and reasons about structure and prediction uncertainty. #DeepLearning + #Bayesian can be compared to Kahneman’s model of the human mind “Thinking, Fast and Slow” (check my slide)
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how DS, AI/ML researchers build Enterprise AI applications. #DPAI #DeepProbabilisticAI #ProbabilisticProgramming #Bayesian
At Noodle AI, we build this integrated architecture in #DeepProbabilisticAI that combines #DeepLearning and #Bayesian #ProbabilisticProgramming to embody our Sense-Predict-Recommend framework! Please check out my other posts.
Combining Deep and #Bayesian approaches opens a new application area for #EnterpriseAI, called the "Deep Probabilistic AI". This will make our AI mind more similar to how the human mind works. Thinking, Fast and Slow! #DeepProbabilisticAI #ProbabilisticProgramming #DPAI
“Extending Stan for Deep Probabilistic Programming” Looks forward to playing with it! DeepStan ~ Stan + Pytorch + Pyro arxiv.org/pdf/1810.00873… #DeepProbabilisticAI #ProbabilisticProgramming #DeepLearning #Bayesian
“Extending Stan for Deep Probabilistic Programming” Looks forward to playing with it! DeepStan ~ Stan + Pytorch + Pyro arxiv.org/pdf/1810.00873… #DeepProbabilisticAI #ProbabilisticProgramming #DeepLearning #Bayesian
At Noodle AI, we build this integrated architecture in #DeepProbabilisticAI that combines #DeepLearning and #Bayesian #ProbabilisticProgramming to embody our Sense-Predict-Recommend framework! Please check out my other posts.
Great for reading it with other more practical tutorials in PYMC3, Stan, Pyro, Tensorflow Probability, etc #DeepProbabilisticAI #Bayesian #PPL
#DeepProbabilisticAI provides a Scalable & Predictive Simulation framework that learns from data and reasons about structure and prediction uncertainty. #DeepLearning + #Bayesian can be compared to Kahneman’s model of the human mind “Thinking, Fast and Slow” (check my slide)
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how DS, AI/ML researchers build Enterprise AI applications. #DPAI #DeepProbabilisticAI #ProbabilisticProgramming #Bayesian
Agree! My favorite analogy for the need of #DeepProbabilisticAI combining #DeepLearning (blackbox, associative) + #BayesianLearning (explicit, logical) is to compare them to Kahneman's dual process of mind, System1 and System2 ("Thinking, Fast and Slow"). hyungilahn.github.io/2018/01/15/dee…
Combining Deep and #Bayesian approaches opens a new application area for #EnterpriseAI, called the "Deep Probabilistic AI". This will make our AI mind more similar to how the human mind works. Thinking, Fast and Slow! #DeepProbabilisticAI #ProbabilisticProgramming #DPAI
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how DS, AI/ML researchers build Enterprise AI applications. #DPAI #DeepProbabilisticAI #ProbabilisticProgramming #Bayesian
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how data scientists and AI/ML researchers build their Enterprise AI applications. #DPAI #DeepProbabilisticAI
3/3 Combining Deep and Bayesian approaches opens a new application area for Enterprise AI, called the "Deep Probabilistic AI". This will make our AI mind more similar to how the human mind works. Thinking, Fast and Slow! #DPAI #DeepProbabilisticAI
2/3 Deep learning is similar to System 1 (scalable, associative, intuitive, data-driven, experience-based, affective mind), as Bayesian learning is to System 2 (generative, logical, causal, interpretable, model-based, prediction-based, cognitive mind). #DPAI #DeepProbabilisticAI
1/3 I often call the Deep Probabilistic AI framework "Thinking, Fast and Slow", as Daniel Kahneman described the human mind in terms of dual process (System 1 and System 2). #DPAI #DeepProbabilisticAI
"Deep Probabilistic Programming Combines Bayesian Inference and Deep Learning" hyungilahn.github.io/2018/01/15/dee… Deep Probabilistic AI (DPAI) will change the way how DS, AI/ML researchers build Enterprise AI applications. #DPAI #DeepProbabilisticAI #ProbabilisticProgramming #Bayesian
Agree! My favorite analogy for the need of #DeepProbabilisticAI combining #DeepLearning (blackbox, associative) + #BayesianLearning (explicit, logical) is to compare them to Kahneman's dual process of mind, System1 and System2 ("Thinking, Fast and Slow"). hyungilahn.github.io/2018/01/15/dee…
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