Add Keras Layer Conv2dTranspose to TF Encrypted
See original GitHub issueAdd tensorflow.keras.layers.Conv2dTranpose
support to TF encrypted
Issue Analytics
- State:
- Created 4 years ago
- Comments:10 (5 by maintainers)
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tf.keras.layers.Conv2DTranspose | TensorFlow v2.11.0
When using this layer as the first layer in a model, provide the keyword argument input_shape (tuple of integers or None , does...
Read more >cannot import name 'Deconvolution2D' from 'keras.layers'
It has been renamed Conv2DTranspose . If you want to import that exact module, you can via from keras.layers.convolutional import ...
Read more >Conv2DTranspose layer - Keras
The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of a normal convolution,...
Read more >tensorflow.keras.layers Example - Program Talk
python code examples for tensorflow.keras.layers. Learn how to use python api tensorflow.keras.layers. ... Project Creator : tf-encrypted.
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How to Calculate the Output Size When Using Conv2DTranspose Layer · Warning: There is no magical formula or Holy Grail here, though a...
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Thanks guys! I think I have enough to get started and will create a new branch.
I will be sure to reach out here or slack if I have questions.
Hey @mortendahl! Sorry the delay in responding. I’m planning on resuming development this weekend.