Comments (4)
forresti
commented on June 22, 2024
Sorry for the slow reply. I would be interested to learn more about this. I don't have your contact info, so could you send me an email at [email protected]?
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ujsyehao
commented on June 22, 2024
Hi, @miaow1988 Can you share your tricks about training squeeze net v1.1 model?
Thank you in advance!
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ujsyehao
commented on June 22, 2024
@forresti Hi，I follow @miaow1988 tutorial and train the model, It performs better when removing relu after squeeze net layer, Do you have some ideas about it?
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syedmustafan
commented on June 22, 2024
@miaow1988 The results by removing RELU were really good.
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Related Issues (20)
- Has anyone successfully trained Squeezenet with residual connections?
- model convert HOT 1
- SqueezeNet v1.1 with Residual Connections with Dense→Sparse→Dense (DSD) Training
- Image Width Issue HOT 1
- tensorflow- After hundreds of epochs, my total_loss stay around 0.6~0.7, and not decreased HOT 2
- 1.1 deploy.prototxt HOT 1
- SqueezeNet is slower when using GPU than when using CPU? HOT 2
- training from scratch, random seed HOT 1
- why can not get the output of the prob layer? HOT 1
- SqueezeNet training on cifar HOT 3
- The SqueezeNet deploy.caffemodel files have all 0.0 weight and bias data HOT 1
- Fine-tuning SqueezeNet HOT 2
- which label list you used HOT 1
- why not use lr_mult, decay_mult like {1, 1, 2, 0}? HOT 3
- optimization and compression
- Image normalization values HOT 1
- squeezenet v1_1 for facedetector , possible , feasable ? HOT 1
- squeezenet for speech HOT 3
- Some minor mistakes in the paper HOT 3
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