Comments (2)
Hi, @luanyunteng
Of course not. The code you’re looking at actually means that the weights are intialized with 0.5 since the sigmoid is applied to calculate the actual weight.
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Hi, @luanyunteng
Of course not. The code you’re looking at actually means that the weights are intialized with 0.5 since the sigmoid is applied to calculate the actual weight.
Thanks.
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Related Issues (13)
- How to change the output channels? HOT 4
- Change train/evaluation process & learning rate scheduler HOT 2
- in_degree and out_degree HOT 5
- Experiment setups? HOT 2
- accuracy
- how to get the neural network diagram HOT 1
- NodeOp should not have agg. weight when input_node
- Performance Gap
- a better implementation HOT 1
- How long to train an epoch? HOT 3
- Critical: node index assignment of BA, WS should not be completely random
- RandWireNN as backbone of Faster RCNN HOT 4
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