Training VGG16 with CIFAR-10 dataset in TensorFlow, can't get good accuracy
I am a beginner to study ML. I am studying the VGG16 model in TensorFlow. My study is here.
Now I meet a question and still can't find the reason. I studied the two case.
- Study pre-trained VGG16-A model to do predict. (VGG in TensorFlow)
- Study VGG16-B model with CIFAR-10 dataset to do training. (Ashing00/Tensorflow_VGG)
They all work fine. But now I want to simulate the Case 2.'s procedure, try to use VGG16-A model to do training with CIFAR-10 dataset. But I am failed, I can't get good accuracy.
The testing is in vgg16f_training_cifar10.ipynb. Can someone give me some hint?
Thanks a lot.
tensorflow
add a comment |
I am a beginner to study ML. I am studying the VGG16 model in TensorFlow. My study is here.
Now I meet a question and still can't find the reason. I studied the two case.
- Study pre-trained VGG16-A model to do predict. (VGG in TensorFlow)
- Study VGG16-B model with CIFAR-10 dataset to do training. (Ashing00/Tensorflow_VGG)
They all work fine. But now I want to simulate the Case 2.'s procedure, try to use VGG16-A model to do training with CIFAR-10 dataset. But I am failed, I can't get good accuracy.
The testing is in vgg16f_training_cifar10.ipynb. Can someone give me some hint?
Thanks a lot.
tensorflow
I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45
add a comment |
I am a beginner to study ML. I am studying the VGG16 model in TensorFlow. My study is here.
Now I meet a question and still can't find the reason. I studied the two case.
- Study pre-trained VGG16-A model to do predict. (VGG in TensorFlow)
- Study VGG16-B model with CIFAR-10 dataset to do training. (Ashing00/Tensorflow_VGG)
They all work fine. But now I want to simulate the Case 2.'s procedure, try to use VGG16-A model to do training with CIFAR-10 dataset. But I am failed, I can't get good accuracy.
The testing is in vgg16f_training_cifar10.ipynb. Can someone give me some hint?
Thanks a lot.
tensorflow
I am a beginner to study ML. I am studying the VGG16 model in TensorFlow. My study is here.
Now I meet a question and still can't find the reason. I studied the two case.
- Study pre-trained VGG16-A model to do predict. (VGG in TensorFlow)
- Study VGG16-B model with CIFAR-10 dataset to do training. (Ashing00/Tensorflow_VGG)
They all work fine. But now I want to simulate the Case 2.'s procedure, try to use VGG16-A model to do training with CIFAR-10 dataset. But I am failed, I can't get good accuracy.
The testing is in vgg16f_training_cifar10.ipynb. Can someone give me some hint?
Thanks a lot.
tensorflow
tensorflow
edited Nov 26 '18 at 7:09
NienFeng Yao
asked Nov 26 '18 at 7:00
NienFeng YaoNienFeng Yao
165
165
I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45
add a comment |
I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45
I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45
I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45
add a comment |
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I add batch normalization in each hidden layer. Now we can get good accuracy.
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I add batch normalization in each hidden layer. Now we can get good accuracy.
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I add batch normalization in each hidden layer. Now we can get good accuracy.
add a comment |
I add batch normalization in each hidden layer. Now we can get good accuracy.
I add batch normalization in each hidden layer. Now we can get good accuracy.
answered Nov 29 '18 at 3:53
NienFeng YaoNienFeng Yao
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I add batch normalization in each hidden layer. Now we can get good accuracy.
– NienFeng Yao
Nov 28 '18 at 7:45