My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
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Updated
Mar 24, 2023 - Jupyter Notebook
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
Notes and Assignment solutions for Stanford CS330 (Autumn 2023 & 2024) Deep Multi-Task and Meta Learning
📝Notes in Chinese for CS330 at Stanford: Deep Multi-Task and Meta Learning (Fall 2019)
Solutions to the assignments undertaken during the Operating Systems Course (CS330) in the 5th semester at IITK under Prof. Debadatta Mishra
Predict how well a transfer-learning dataset will work before fine-tuning on it. TLDChoiceNet cuts prediction MSE 5x, and an unsupervised class-correlation metric explains fine-tune accuracy with R2=0.97. Stanford CS 330.
This is a repo containing my assignment solutions for the course CS330 - Operating Systems
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CS 330 Network Applications and Protocols
Predict how well a transfer-learning dataset will work before spending compute on fine-tuning.
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