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Keras package for deep residual networks

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Please guide me on how can I change the in btw layer or last layer ``` shape, classes = (150, 150, 3), 11 x = keras.layers.Input(shape) model = keras_resnet.models.ResNet50(x, classes=classes)...

#64 #61 #60 sorry about problematic PR earlier.

https://github.com/broadinstitute/keras-resnet/blob/898a1ee417e940ff12bf73ad44c2aae88501771f/keras_resnet/models/_3d.py#L77 https://github.com/broadinstitute/keras-resnet/blob/898a1ee417e940ff12bf73ad44c2aae88501771f/keras_resnet/models/_3d.py#L80 ### Kernel_size of a `Conv3D` can be a `single integer` or a `tuple of 3 integers`! And similarly with the strides too.

Hello, is there a version for "tf.keras"? Because I used "tf.keras" in the codes, however the keras-resnet is in "keras" version. Thus, I got an error caused by a [version...

Fixes in input dimensions for Conv1D layers.

Seems 1D models are set to use 2D kernels. I went to use a 1D model and got the error: `ValueError:` The `kernel_size` argument must be a tuple of 1...

When load a model ` # save model model_json = model.to_json() with open("model.json", "w") as json_file: json_file.write(model_json) # load json and create model json_file = open('model.json', 'r') loaded_model_json = json_file.read()...

When I try to load a trained model, I get the error: ValueError: Unknown layer: ResNet2D50 I tried add custom objects while loading: {'ResNet2D50': keras_resnet.models.ResNet2D50} but I find it useless...

Travis has just announced a change in their pricing structure, and no longer offer free builds for open source projects. https://blog.travis-ci.com/2020-11-02-travis-ci-new-billing If those changes are incompatible with the needs of...