Difference between revisions of "Other Challenges"
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* [[Gradient Descent Optimization & Challenges]] | * [[Gradient Descent Optimization & Challenges]] | ||
* [[AI Verification and Validation]] | * [[AI Verification and Validation]] | ||
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* [[Digital Twins]] | * [[Digital Twins]] | ||
* [[Occlusions]] | * [[Occlusions]] | ||
Revision as of 06:36, 5 February 2019
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- Privacy in Data Science
- Backpropagation
- Gradient Descent Optimization & Challenges
- AI Verification and Validation
- Digital Twins
- Occlusions
- Bio-inspired Computing
The Wall - Deep Learning
Deep neural nets are huge and bulky inefficient creatures that allow you to effectively solve a learning problem by getting huge amounts of data and a super computer. They currently trade efficiency for brute force almost every time.
The Expert
