Comments (11)
In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
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In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
I think you can read "How to train your MAML".This paper asks five questions about MAML.
from maml.
In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
I think you can read "How to train your MAML".This paper asks five questions about MAML.
Thank you for your response! I have read "How to train your MAML". However, what I want to know is the math process of the first-order approximation. Would you tell more detail about it?
from maml.
In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
I think you can read "How to train your MAML".This paper asks five questions about MAML.
Thank you for your response! I have read "How to train your MAML". However, what I want to know is the math process of the first-order approximation. Would you tell more detail about it?
Sorry about that.I just write a code and training it.I'm not good at math, so I can't tell you.
from maml.
In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
I think you can read "How to train your MAML".This paper asks five questions about MAML.
Thank you for your response! I have read "How to train your MAML". However, what I want to know is the math process of the first-order approximation. Would you tell more detail about it?
Sorry about that.I just write a code and training it.I'm not good at math, so I can't tell you.
Can I see the code of this process and how to use? I ask for the math process because I cannot find the code. So if I know how you write the code, I can write the math process.
from maml.
In addtion, did you try to use a large scale neural network training by a first-order approximation. Can it get a better result on dataset like miniImageNet?
I think you can read "How to train your MAML".This paper asks five questions about MAML.
Thank you for your response! I have read "How to train your MAML". However, what I want to know is the math process of the first-order approximation. Would you tell more detail about it?
Sorry about that.I just write a code and training it.I'm not good at math, so I can't tell you.
Can I see the code of this process and how to use? I ask for the math process because I cannot find the code. So if I know how you write the code, I can write the math process.
可以,老哥还是说汉语吧。顶不住了,但其实我写的代码没有用到二阶导,其实我也对这一段挺好奇的。code
from maml.
好吧,所以我才希望看到她本人来回答一下。
from maml.
好吧,所以我才希望看到她本人来回答一下。
根据李宏毅教授的讲解,他是把二阶导近似等效为0或1。但是这样对结果的精度不好。
from maml.
好吧,所以我才希望看到她本人来回答一下。
根据李宏毅教授的讲解,他是把二阶导近似等效为0或1。但是这样对结果的精度不好。
这个有讲义资料吗?求地址啊
from maml.
好吧,所以我才希望看到她本人来回答一下。
根据李宏毅教授的讲解,他是把二阶导近似等效为0或1。但是这样对结果的精度不好。
这个有讲义资料吗?求地址啊
B站上搜“李宏毅”第一个2020的你拉到下面有个Meta-Learning章节的,就是了
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我看到了,十分感谢!
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Related Issues (20)
- ModuleNotFoundError: No module named 'tensorflow.contrib' HOT 1
- Pretrained weights for omniglot
- Some question about cross-entropy loss xent
- How to open the results in LOGs
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- What weights you are using during testing
- Prelosses and Postlosses HOT 2
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- include how to cite paper on read me
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- Why 20000 tasks are set, but only one batch task is used HOT 1
- something about Computational Graph
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