Related Issues (20)
- You are trying to load a weight file containing 0 layers into a model with 16 layers HOT 3
- Input_shape mis_match using the denseNet121.py
- Can I finetune the pretrained densenet with 5-channel inputs?
- load_data() module HOT 3
- Resnet101 weights using channels other than 3 results in weight loading error HOT 1
- the input size of image is fixed? HOT 1
- fine tune my own dataset? HOT 6
- Failed to use Theano as backend for vgg16.py
- what's the difference between this completation and official keras completation
- Can I use this code for regression problem?
- Resnet50 Issue loading weights
- TypeError: 'module' object is not callable HOT 2
- Issue will running densenet? HOT 1
- Scale layer after Batch Normalization
- CNN MODEL / FINE TUNING / VGG16
- How to finetune for Grayscale images?
- In resnet152 i am getting that error
- AttributeError: module 'keras.backend' has no attribute 'image_dim_ordering' HOT 2
- TypeError: 'module' object is not callable HOT 2
- NotImplementedError: Cannot convert a symbolic Tensor (pool1/3x3_s2_1/MaxPool:0) to a numpy array.
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from cnn_finetune.