Tensor Operations for Machine Learning with Anima Anandkumar - TWiML Talk #142
Published:May 23, 2018 20:15
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Anima Anandkumar, a professor at Caltech and a scientist at Amazon Web Services. The discussion centers on the application of tensor operations in machine learning, specifically focusing on how 3-dimensional tensors can be used for document categorization to identify topics and relationships. The conversation also covers tensorizing neural networks, architecture searches, and related Amazon products like Sagemaker and Comprehend. The episode is part of the TrainAI series and aims to provide insights into the practical applications of tensor algebra in the field of AI.
Key Takeaways
- •Tensor operations are a key area of research in machine learning.
- •3-dimensional tensors can be used for document categorization.
- •The discussion covers practical applications of tensor algebra in AI, including neural networks and architecture search.
Reference
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