Arsey/keras-transfer-learning-for-oxford102
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
PythonMIT
Issues
- 0
How can I avoid "early stopping"?
#27 opened by SpreadKnowledge - 5
Why we have to rescale by 1. / 255
#1 opened by anhlt - 0
- 0
System calls classification
#25 opened by KahinaBELAIDI - 8
- 2
Pretrained model
#24 opened by webschik - 0
Request for enhancement
#22 opened by shirishr - 13
Error in weights file I guess...I am at a loss
#21 opened by shirishr - 0
ValueError: Dimension 1 in both shapes must be equal, but are 0 and 100 for 'Assign_320' (op: 'Assign') with input shapes: [2048,0], [2048,100].
#19 opened by w5688414 - 0
server.py ValueError
#18 opened by noriando - 4
Dataset directory's structure
#16 opened by DeepStillWater - 8
- 1
dict().values returns dict_values in python 3.6
#17 opened by jszym - 1
- 1
predict.py fails on vgg16
#15 opened by xdvx - 4
Issue with running predict.py file
#10 opened by zahangircse - 4
- 1
Same problem with fine tuning.
#13 opened by JinnyZhao - 11
train error:ValueError: Input arrays should have the same number of samples as target arrays
#14 opened by mikeylj - 2
finetuning multiclass model
#9 opened by biswagsingh - 9
- 1
- 6
Exception: Error when checking : data should be a Numpy array, or list/dict of Numpy arrays. Found: None...
#4 opened by debarko - 2
AttributeError: 'module' object has no attribute 'save_bottleneck_features'
#3 opened by jshchengcong - 5
Imagenet mean subtraction
#2 opened