In tensorflow benchmark, is there any options considering satisfaction of loss?
In training models in DNN, there are two training methods(as I know), gives num_batches for iteration or training until validation loss approach satisfaction thresholds.
I used benchmark in tensorflow, however I always use the number of batches for training the models. Is there any options or condition for training models until it attaches certain validation loss? Or should I implement on my own in benchmark code?
Thanks.
python tensorflow
asked Nov 12 at 5:11
jwl1993
9711
add a comment |
In training models in DNN, there are two training methods(as I know), gives num_batches for iteration or training until validation loss approach satisfaction thresholds.
I used benchmark in tensorflow, however I always use the number of batches for training the models. Is there any options or condition for training models until it attaches certain validation loss? Or should I implement on my own in benchmark code?
Thanks.
python tensorflow
asked Nov 12 at 5:11
jwl1993
9711
add a comment |
In training models in DNN, there are two training methods(as I know), gives num_batches for iteration or training until validation loss approach satisfaction thresholds.
I used benchmark in tensorflow, however I always use the number of batches for training the models. Is there any options or condition for training models until it attaches certain validation loss? Or should I implement on my own in benchmark code?
Thanks.
python tensorflow
asked Nov 12 at 5:11
jwl1993
9711
In training models in DNN, there are two training methods(as I know), gives num_batches for iteration or training until validation loss approach satisfaction thresholds.
I used benchmark in tensorflow, however I always use the number of batches for training the models. Is there any options or condition for training models until it attaches certain validation loss? Or should I implement on my own in benchmark code?
Thanks.
python tensorflow
python tensorflow
asked Nov 12 at 5:11
jwl1993
9711
asked Nov 12 at 5:11
jwl1993
9711
asked Nov 12 at 5:11
jwl1993
9711
asked Nov 12 at 5:11
jwl1993
9711
asked Nov 12 at 5:11
jwl1993
9711
9711
add a comment |
add a comment |
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