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Deep Learning With Apache MXNet On Video by Ben Taylor @ ziff.ai
The document discusses various aspects of deep learning applied to video, highlighting successes and failures in the field. It emphasizes the challenges of managing diverse AI solutions and the importance of transforming applications to address significant business issues. The text also touches on the necessity of handling unstructured data effectively across different regions and applications.
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Deep Learning With Apache MXNet On Video by Ben Taylor @ ziff.ai
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- 4. The Future OfAI & What To Expect In 2020 @bentaylordata Personal Introduction
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- 9. Audio Structured All thedata that matters Image Text Video
- 10. Ai (Classic Machine-Learning+ Deep-Learning) Landscape Business Value Ease of Adoption More People General Application AiNiche Ai Custom Ai & other frameworks incremental exponential low high & other P/S solutions Autonomous Vehicles Surveillance & Anomaly Detection Lead Scoring Marketing Automation Recommender Systems ASR & Image Recognition Loan Default Prediction Key Evolutionary Advantage Domain-specific Question/Answer & Chatbots Ai Mediated Neural Interfaces Strong Ai & Artificial General Intelligence Business Language Driven Ai Ai Assisted Task Execution Domain-specific forecasting & other automated ML Platforms Simplify Chaos and confusion run rampant with large companies each backing their own solution and thousands of niche solutions that each require a siloed implementation. Amplify ZIFF aims to empower 25M enterprise software developers with a solution that sits at the bottom of the stack where they all expect data and analytics to live. Transform General Application Ai focuses on transformative business problems not the Science Projects
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- 18. Using Ring Video Canwe manage a large amount of video effectively?
- 26. Using Xbox Video Isit possible to beat a 7yr old with GPUs in 2019?
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- 47. . REGION OFINTEREST .
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- 49. NN Encoder X = (5,224,224,3) (5,21841) 1.2GbMkv file => 17Gb float32 matrix
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- 55. Comprehend the group’s sensoryinformation Control the group NN Encoder Y = (3,15)
Editor's Notes
- #12 HireVue: Shock the world on your depth of the problem