Efficient Algorithms, Hardware Architectures and Circuits for Deep Learning Accelerators
Deep learning has permeated many industries due to its state-of-the-art ability to process complex data and uncover intricate patterns. However, it is computationally expensive. Researchers have shown in theory and practice that the progress of deep learning in many applications is heavily relian...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152734 https://orcid.org/0009-0000-5896-5014 |