Comments (2)
BooruguapalliSridhar
commented on May 24, 2024
keras version 1.2.2, also tried with 1.2.1 and 1.2.0. and keras.json { "image_dim_ordering": "tf", "epsilon": 1e-07, "floatx": "float32", "backend": "tensorflow" } ,also added "image_data_format": "channels_first" to keras json file,still not working
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ternaus
commented on May 24, 2024
At the time when we worked on this problem, Theano was still supported and was working faster than Tensorflow.
Theano and Tensorflow have different dim_ordering. It may happen that using dim_ordering th will solve the problem.
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Related Issues (20)
- Using real coordinates
- h5py.File doesn't have compression as argument? HOT 1
- Training at once for all classes HOT 1
- output of generator should be a tuple (x, y, sample_weight) or (x, y). Found: None HOT 3
- RGB implementation HOT 4
- Object detection question HOT 1
- TypeError: 'compression_opts' is an invalid keyword argument for this function(cache_train.py) HOT 1
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- How can I label my own images? HOT 1
- Thanks so much HOT 1
- How can I make this code work with images of 3 bands only? HOT 3
- why loss go up?
- model issue
- TypeError: 'compression' is an invalid keyword argument for this function HOT 2
- ValueError: "concat" mode can only merge layers with matching output shapes except for the concat axis. Layer shapes: [(None, 2, 14, 512), (None, 2, 14, 256)] HOT 7
- Reproducing Results Problem HOT 1
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