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Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

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Hi, https://www.reddit.com/r/MachineLearning/comments/450a4p/160202830_binarynet_training_deep_neural_networks/czut3dp/ In this reddit post you suggest you can calculate the bn parameter as a threshold. T = mean + β (std + e) / γ My question: 1....

This package use some out-dated python libraries, and it's hard to get all the correct versions. How about upload the the requirements.txt that you use? Thanks.

I installed pylearn2 and theano(bleeding-edge version) following the links given on the README. When running mnist.py I encountered the following error: Using cuDNN version 5005 on context None Preallocating 3027/4036...

Hi All, I am having following problem when I try to run mnist.py of training. Anyone have any ideas ? Thanks in advance for your help. I am on Windows...

Instead, using the Train-time binary_net.py and binarized weights to perform inference I tried to modify the original train-time cifar10.py to do inference, but without success.

I'm running the mnist example using a K80 Tesla Chip but I'm finding each epoch is running around 130mins. Wondering if there's any Theano configuration or something that could help...

Hello; I trained the MNIST network for 10 epochs and then I run the mnist.py in Run-Time folder with XNOR kernel. I got below error: Pycuda cuLaunchkernel error. Can anyone...

This is what I got, (the training part works fine): Using gpu device 0: GeForce GTX 960 (CNMeM is enabled with initial size: 90.0% of memory, cuDNN 5105) Traceback (most...

Hi all, I run the benchmark_cubas.cu and find a really big problem. when the N = 8192, the result is success=1 success=1 that is, both xnor, gemm and cublas is...

When running svhn.py, a runtime error occurred, indicating a dimension mismatch. Both this program and the program under BinaryConnect project have the same problem. Is there something wrong with the...