Error while loading weights for keras modelHow can I convert a trained Tensorflow model to Keras?How to use a trained keras model to do classification in an android applicationKeras model.load_weights(WEIGHTS) provide inaccurate resultsOptimized Deployment of Keras Models?Keras fails to load model weights when using MXNet backendSaving the best weights and model in KerasKeras train_on_batch behaviourError when loading Keras model trained by tensorflowKeras Weights AveragingKeras: Best model according to ModelCheckpoint-callback produces different loss on training set than best epoch loss displayed while training
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Error while loading weights for keras model
How can I convert a trained Tensorflow model to Keras?How to use a trained keras model to do classification in an android applicationKeras model.load_weights(WEIGHTS) provide inaccurate resultsOptimized Deployment of Keras Models?Keras fails to load model weights when using MXNet backendSaving the best weights and model in KerasKeras train_on_batch behaviourError when loading Keras model trained by tensorflowKeras Weights AveragingKeras: Best model according to ModelCheckpoint-callback produces different loss on training set than best epoch loss displayed while training
I trained a model with Keras and saved weights in a *.hdf5 file during training using callbacks:
callbacks_list = [tf.keras.callbacks.ModelCheckpoint(filepath_checkpoint, monitor='val_loss', verbose=1, save_best_only=True, mode='min')]
When I tried to reload weights into the model using model.load_weights(filepath_checkpoint)
I got the following error:
2019-03-25 16:34:20.291041: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open Yolo/weights-best-tiny-test.hdf5: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
Couls you help me to solve this issue?
Thank you
python tensorflow keras
add a comment |
I trained a model with Keras and saved weights in a *.hdf5 file during training using callbacks:
callbacks_list = [tf.keras.callbacks.ModelCheckpoint(filepath_checkpoint, monitor='val_loss', verbose=1, save_best_only=True, mode='min')]
When I tried to reload weights into the model using model.load_weights(filepath_checkpoint)
I got the following error:
2019-03-25 16:34:20.291041: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open Yolo/weights-best-tiny-test.hdf5: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
Couls you help me to solve this issue?
Thank you
python tensorflow keras
Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38
add a comment |
I trained a model with Keras and saved weights in a *.hdf5 file during training using callbacks:
callbacks_list = [tf.keras.callbacks.ModelCheckpoint(filepath_checkpoint, monitor='val_loss', verbose=1, save_best_only=True, mode='min')]
When I tried to reload weights into the model using model.load_weights(filepath_checkpoint)
I got the following error:
2019-03-25 16:34:20.291041: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open Yolo/weights-best-tiny-test.hdf5: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
Couls you help me to solve this issue?
Thank you
python tensorflow keras
I trained a model with Keras and saved weights in a *.hdf5 file during training using callbacks:
callbacks_list = [tf.keras.callbacks.ModelCheckpoint(filepath_checkpoint, monitor='val_loss', verbose=1, save_best_only=True, mode='min')]
When I tried to reload weights into the model using model.load_weights(filepath_checkpoint)
I got the following error:
2019-03-25 16:34:20.291041: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open Yolo/weights-best-tiny-test.hdf5: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
Couls you help me to solve this issue?
Thank you
python tensorflow keras
python tensorflow keras
asked Mar 25 at 15:48
aleio1aleio1
487 bronze badges
487 bronze badges
Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38
add a comment |
Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38
Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38
Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38
add a comment |
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Can you provide a self-containing example that reproduces the issue?
– Matias Valdenegro
Mar 25 at 19:38