Comments (2)
NEGU93
commented on May 30, 2024
Yes indeed. I deleted that example.
I am working in a branch that is suffering a HUGE change in all the code structure. I will be merging it soon (the first week of January). It will support Complex Convolutional Layers and more.
For the moment only Complex Dense is supported. Sorry for the inconvenience.
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NEGU93
commented on May 30, 2024
@wisecat57 Complex Convolution layers work now since the 1.0.0 release version.
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Related Issues (20)
- I'm not getting complex valued output HOT 8
- CVNN API 3D layers HOT 6
- Error: Inputs to a layer should be tensors. Got: <cvnn.layers.core.ComplexInput object at ...> HOT 1
- ValueError: Unknown loss function:ComplexAverageCrossEntropy HOT 3
- Complex data type error with TensorFlow Functional API HOT 2
- Model subclassing compatibility HOT 4
- load CVNN model with succes HOT 1
- Implement complex-valued constraint parameter HOT 7
- Terrible slow caused by ComplexBatchNormalization() HOT 4
- Custom Activation Functions with tensorflow 2.8.2 HOT 1
- Pytorch implementation HOT 3
- ComplexConv2D with bias vector slows down training a lot HOT 7
- "WARNING:tensorflow: You are casting an input of type complex64 to an incompatible dtype float32. This will discard the imaginary part and may not be what you intended." HOT 5
- ModuleNotFoundError: No module named 'cvnn.montecarlo' HOT 1
- Unknown activation function 'cart_relu': Please ensure this object is passed to 'custom objects' argument HOT 5
- Cant find Complex Softmax which takes complex input and output complex output HOT 1
- Best Activation Function in Complex Domain HOT 1
- using this function layers.complex_input(shape=input_shape + (3,)) gives off dtype error HOT 2
- Problem with loading complex valued model HOT 2
- Equivalent Data PreProcessing for complex-valued input
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