Comments (2)
Hi!
Since chapter 9 is only covering the part 2 project at a high level, there's no code for chapter 9. Perhaps we should have a directory with just a README that says as much?
Hope you're liking the book!
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Related Issues (20)
- p2ch11: label_g[:,1] as target label in computeBatchLoss() ? HOT 1
- P2ch10 error: only integers, slices (`:`)...
- Post URL of book errata
- Read labels from the module, not from some random file
- Didn't set model to eval mode when validating in chapter 8
- get'IndexError: list index out of range' when run the specific series_uid in p2ch10_explore_data.ipynb
- typo
- p2ch11/training.py causes an TypeError HOT 1
- p1ch3, id(points.storage()) == id(points_t.storage()) out:False on Colab HOT 3
- findPositiveSamples() output no data, in p2ch10 (kaggle)
- Unable to visualize the images in part2ch10 code (p2ch10_explore_data.ipynb notebook)
- Fig. 7.11. in the book
- p1ch8/1_convolution.ipynb L2 regularization problem
- p2ch11: 13,5 hours to train for one epoch
- p2ch14: TypeError: linspace() missing 1 required positional arguments: "steps" HOT 2
- p2ch12 the memory explosion when i train the balanced model with the same config in p2ch11 HOT 2
- p HOT 2
- xyz2irc() is not inverse of irc2xyz()
- p2ch11 我尝试运行training这个文件,并对LunaModel 略做修改,两个结果有些不同,我不知道哪一个结果更好?
- Next version enhancement
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