Issues
- 4
- 0
- 1
Error importing the model
#43 opened by castelock - 0
Finetuning
#42 opened by asfix - 1
Minimum image size to use pretrained weights
#41 opened by mb1069 - 4
load fine-tuned model with keras.load_model
#35 opened by HurongCSU - 1
- 1
Interest in implementing pre-trained weights from "ImageNet-21K Pretraining for the Masses" to vit-keras
#36 opened by johnypark - 0
Meaning of FlexErf node
#37 opened by dgrnd4 - 1
- 1
error with visualization
#32 opened by sutummala - 3
Different number of channels
#31 opened by minimatest - 3
different image size in fine-tuning
#29 opened by captainst - 3
load_pretrained - BASE_URL 404 Not Found
#28 opened by nattafahhm - 0
Visualization of transfer learning model
#33 opened by teramoto0907 - 7
- 2
- 3
Support of non-square size image
#18 opened by kelvinkoh0308 - 2
Multilabel: class-wise attention maps
#23 opened by rarazac - 1
grayscale images
#22 opened by raammishra - 1
image size
#24 opened by daeing - 2
Difference Between all the VIT models
#9 opened by king398 - 1
- 1
- 2
Unknown error code running model.fit
#17 opened by Sicily-F - 2
- 2
tf.SavedModel ValueError: ('Cannot serialize', functools.partial(<function gelu at 0x15b6d55e0>, approximate=False))
#15 opened by cocoinit23 - 1
Gelu Warning
#14 opened by awsaf49 - 3
- 18
TypeError: Tensors in list passed to 'values' of 'ConcatV2' Op have types [float32, float16] that don't all match.
#8 opened by king398 - 2
mixed precision error casting
#11 opened by Shiro-LK - 3
- 0
TypeError: Tensors in list passed to 'values' of 'ConcatV2' Op have types [float32, float16] that don't all match.
#7 opened by king398 - 1
setup.py is not necessary?
#6 opened by GitGhidorah - 1
NotFoundError when running example
#5 opened by alexblnn - 2
- 1
Layer names mismatch
#3 opened by faustomorales - 1