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About DER #84
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The way of classifier is defined by the number of classes you choose in the training stage. |
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Please refer to the original ResNet paper for details on why the model has so few parameters. Note that Issues are not designed to teach basic deep learning details. |
I saved the weights and loaded them according to the model in training, but the accuracy of the tests is very low. Why is this happening? |
sry can u tell me the reason? |
Hello, sorry to bother you. I’ve saved the weights, but it feels like the resnet20 model is too small, and when I print out the network, I find that the fc is always a 10-classifier. If I only train 7 classes initially, shouldn’t there only be a 7-classifier? (model is resnet20
![der](https://private-user-images.githubusercontent.com/137689049/333013281-52895dfb-12d9-4cf1-ade8-3b3e9b100ca9.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjUwNzY2ODcsIm5iZiI6MTcyNTA3NjM4NywicGF0aCI6Ii8xMzc2ODkwNDkvMzMzMDEzMjgxLTUyODk1ZGZiLTEyZDktNGNmMS1hZGU4LTNiM2U5YjEwMGNhOS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwODMxJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDgzMVQwMzUzMDdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0zMGM3M2NkNDIzMjNhZDEyMDMzNWUyNjQ0YWExNGZlZGEzMGFiZjIxNTcxYmFlMjc5MGVhNzUxNzRiN2Q0MTg4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.69xMUlh2WHnfR1G8RpHuRh02tvk9AMSy3Qqp4co1yUM)
![der1](https://private-user-images.githubusercontent.com/137689049/333013302-35378238-cbc7-4f20-9404-48623109fd77.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjUwNzY2ODcsIm5iZiI6MTcyNTA3NjM4NywicGF0aCI6Ii8xMzc2ODkwNDkvMzMzMDEzMzAyLTM1Mzc4MjM4LWNiYzctNGYyMC05NDA0LTQ4NjIzMTA5ZmQ3Ny5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwODMxJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDgzMVQwMzUzMDdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT00MmU3OGE3OWU4NWRiYWQ4NjY4MDA3M2JmZDM5Nzg1MzE5OWUzNzI5YzIyYjVlM2YyZDE5NDYwM2Q0OWM3ZWZhJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.h3wTf3ounA1BpUpOelCTCyDBRP9Tk9OlP9S9_g0_UJQ)
![der2](https://private-user-images.githubusercontent.com/137689049/333013313-d46a1a4f-4b54-4608-bc4a-089d3c1cc96e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjUwNzY2ODcsIm5iZiI6MTcyNTA3NjM4NywicGF0aCI6Ii8xMzc2ODkwNDkvMzMzMDEzMzEzLWQ0NmExYTRmLTRiNTQtNDYwOC1iYzRhLTA4OWQzYzFjYzk2ZS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwODMxJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDgzMVQwMzUzMDdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1kNjNlYTYxZDQ5MzlhZjgzZWQ1MTIxMWQ0NWI3MmZkZTQ0MzhkM2NjYTE2Yzk1NTJkY2YxZTY2NTUxMzljOWEwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.ZKOpV2hoz6zkBMDEyKYpjGiboyePUCN-rmo-tPMrsyo)
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