Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22
Analysis
This article summarizes an interview with Matt Zeiler, the founder of Clarifai, focusing on deep neural networks for visual recognition. The interview took place at the NYU FutureLabs AI Summit and covers Zeiler's background, including his work with Geoffrey Hinton and Yann LeCun. The core of the discussion revolves around Clarifai's development, its deep learning architectures, and how they contribute to visual identification. The interviewer highlights Zeiler's insightful answers regarding the evolution of deep neural network architectures, suggesting the interview provides valuable insights into the practical application of AI research.
Key Takeaways
- •Matt Zeiler founded Clarifai, a company specializing in cloud-based visual recognition.
- •The interview discusses the deep neural network architectures used by Clarifai.
- •The conversation highlights the evolution of deep learning architectures for improved performance.
“Our conversation focused on the birth and growth of Clarifai, as well as the underlying deep neural network architectures that enable it.”