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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













0















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










share|improve this question






















  • Can you provide a self-containing example that reproduces the issue?

    – Matias Valdenegro
    Mar 25 at 19:38















0















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










share|improve this question






















  • Can you provide a self-containing example that reproduces the issue?

    – Matias Valdenegro
    Mar 25 at 19:38













0












0








0


1






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










share|improve this question














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






share|improve this question













share|improve this question











share|improve this question




share|improve this question










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

















  • 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










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