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Can I load my own weights?
Shared weights in convolutional neutral networkWhat are default keras layer weightsMeaning of Perceptron optimal weightsInitialize perceptron weights with zeroHow to define own model using Tensorflow object detection APIWeights in neural networkOwn Implementation of Neural Networks heavily under fitting the dataHow to make it possible for a neural network to tune its own hyper parameters?hidden layer weights calculationWeights initialization in Neural Network
$begingroup$
full code source: https://www.kaggle.com/hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155
#Download COCO pre-trained weights
!wget --quiet https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
!ls -lh mask_rcnn_coco.h5
COCO_WEIGHTS_PATH = "mask_rcnn_coco.h5"
model.load_weights(COCO_MODEL_PATH, by_name=True,
exclude=["mrcnn_class_logits", "mrcnn_bbox_fc",
"mrcnn_bbox", "mrcnn_mask"])
elif init_with == "last":
# Load the last model you trained and continue training
model.load_weights(model.find_last()[1], by_name=True)
Hi,
Can I load my own "*.h5" file?
For example: I interrupted my kernel after 5 epochs. Can I load my last epoch?
Can You explain it for me?
It will be continue a process learning?
Sorry, I am a new here. Thanks.
deep-learning faster-rcnn
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
full code source: https://www.kaggle.com/hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155
#Download COCO pre-trained weights
!wget --quiet https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
!ls -lh mask_rcnn_coco.h5
COCO_WEIGHTS_PATH = "mask_rcnn_coco.h5"
model.load_weights(COCO_MODEL_PATH, by_name=True,
exclude=["mrcnn_class_logits", "mrcnn_bbox_fc",
"mrcnn_bbox", "mrcnn_mask"])
elif init_with == "last":
# Load the last model you trained and continue training
model.load_weights(model.find_last()[1], by_name=True)
Hi,
Can I load my own "*.h5" file?
For example: I interrupted my kernel after 5 epochs. Can I load my last epoch?
Can You explain it for me?
It will be continue a process learning?
Sorry, I am a new here. Thanks.
deep-learning faster-rcnn
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
full code source: https://www.kaggle.com/hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155
#Download COCO pre-trained weights
!wget --quiet https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
!ls -lh mask_rcnn_coco.h5
COCO_WEIGHTS_PATH = "mask_rcnn_coco.h5"
model.load_weights(COCO_MODEL_PATH, by_name=True,
exclude=["mrcnn_class_logits", "mrcnn_bbox_fc",
"mrcnn_bbox", "mrcnn_mask"])
elif init_with == "last":
# Load the last model you trained and continue training
model.load_weights(model.find_last()[1], by_name=True)
Hi,
Can I load my own "*.h5" file?
For example: I interrupted my kernel after 5 epochs. Can I load my last epoch?
Can You explain it for me?
It will be continue a process learning?
Sorry, I am a new here. Thanks.
deep-learning faster-rcnn
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
full code source: https://www.kaggle.com/hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155
#Download COCO pre-trained weights
!wget --quiet https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
!ls -lh mask_rcnn_coco.h5
COCO_WEIGHTS_PATH = "mask_rcnn_coco.h5"
model.load_weights(COCO_MODEL_PATH, by_name=True,
exclude=["mrcnn_class_logits", "mrcnn_bbox_fc",
"mrcnn_bbox", "mrcnn_mask"])
elif init_with == "last":
# Load the last model you trained and continue training
model.load_weights(model.find_last()[1], by_name=True)
Hi,
Can I load my own "*.h5" file?
For example: I interrupted my kernel after 5 epochs. Can I load my last epoch?
Can You explain it for me?
It will be continue a process learning?
Sorry, I am a new here. Thanks.
deep-learning faster-rcnn
deep-learning faster-rcnn
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
James_HamesJames_Hames
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
James_HamesJames_Hames
1
asked 6 mins ago
James_HamesJames_Hames
1
1
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
James_Hames is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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