Eddie's Learing Record 44
1. DurationMonday, Apr. 24th, 2023 - Sunday, Apr. 30th, 20232. Learning Records2.1. UpdatingRevised my English Curriculum Vitae and Chinese Resume bas...
Eddie's Learning Record 23
1. Duration Monday, November 7th, 2022 - Saturday, November 12th, 2022 2. Learning Record 2.1 Give a Pitch to My Junior Fellow I supposed him to be a professor of deep learning, but he turned out to be a rookie. He even didn't finish the machine learning course. Luckily, he is interested in t...
Eddie's Learning Record 40
Eddie's Learing Record 44
1. DurationMonday, Apr. 24th, 2023 - Sunday, Apr. 30th, 20232. Learning Records2.1. UpdatingRevised my English Curriculum Vitae and Chinese Resume bas...
Eddie's Learning Record 23
1. Duration Monday, November 7th, 2022 - Saturday, November 12th, 2022 2. Learning Record 2.1 Give a Pitch to My Junior Fellow I supposed him to be a professor of deep learning, but he turned out to be a rookie. He even didn't finish the machine learning course. Luckily, he is interested in t...
Eddie's Learning Record 40
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Tuesday, March 13th, 2023 - Sunday, March 19th, 2023
Applied multithreading on the overall analysis. ME analysis and MaE analysis are processed on two threads separately.
Applied multithreading on ME analysis.
Refactored the spotting and evaluating as a function, which made the notebook more concise.
Kept writing the patent paper. Added formulas, sketch images, and the reason why Swin Transformer, Shifted Patch Tokenisation and Locality Self-Attention work fine.
Nevertheless, paperwork is some kind of worth as I found a redundant softmax layer was applied to the model when I was writing the patent demonstration.
Deleted the redundant softmax layer.
Updated the pytorch to version 2.0 and tried torch.compile. Unfortunately, it failed. Maybe the reason is that my model is running in eager mode.
It seemed that I was not recovered mentally and physically from the hiking last weekend.
Tuesday, March 13th, 2023 - Sunday, March 19th, 2023
Applied multithreading on the overall analysis. ME analysis and MaE analysis are processed on two threads separately.
Applied multithreading on ME analysis.
Refactored the spotting and evaluating as a function, which made the notebook more concise.
Kept writing the patent paper. Added formulas, sketch images, and the reason why Swin Transformer, Shifted Patch Tokenisation and Locality Self-Attention work fine.
Nevertheless, paperwork is some kind of worth as I found a redundant softmax layer was applied to the model when I was writing the patent demonstration.
Deleted the redundant softmax layer.
Updated the pytorch to version 2.0 and tried torch.compile. Unfortunately, it failed. Maybe the reason is that my model is running in eager mode.
It seemed that I was not recovered mentally and physically from the hiking last weekend.
Eddie He
Eddie He
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