Comments (2)
Hi @eng100200, Tensorflow will help you to calculate the gradients and do the back propagation for you automatically. So don't worry. Just apply your loss function and see how it goes.
It will be great if you can create a repository can put your code on it.
from tensorflow-vgg.
@machrisaa thank you,,, it means i just need to upload pre-trained weights and apply the loss function, and sent the computed loss for gradient computation, which then update the weights automatically,,,,,,,,cool
Yea sure, after some revisions, i would make my code available here.
thanks for quick reply.
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Related Issues (20)
- The vgg16.npy can't be downed. HOT 4
- Relu layer
- _pickle.UnpicklingError HOT 1
- About NPY file
- why there is no activation function behind the convolution layer? HOT 1
- what about more channels
- Train on my own data... HOT 6
- About accuracy of the pretrained vgg.npy
- the padding in maxpooling of the vgg16.py HOT 1
- Do you know how to implement the "use this to build the VGG object", Please?
- about fc_layer
- vgg19_trainable without trainer?
- the issues about split
- Different value from this version and keras HOT 1
- colaboratory
- Tensorflow version problem HOT 2
- npy file for pytorch?
- Google Colab
- Spelling error.
- When I first use this net,where should I spill the code in the "readme-usage" ? HOT 1
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from tensorflow-vgg.