Python code to reproduce our works on Wireless-powered Mobile Edge Computing [1], which uses the wireless channel gains as the input and the binary computing mode selection results as the output of a deep neural network (DNN). It includes: ...
The pytorch version is implemented using CUDA for fast computation. The code has been tested in Ubuntu 20.04 with CUDA 11.6. The implementation is isolated from your PyTorch library and does not modify any other Python packages installed on your system. It can be installed and uninstalled independ...
https://github.com/martinarjovsky/WassersteinGAN WGAN-GP Regularization and Normalization of the Discriminator: WGAN-GP: WGAN的作者Martin Arjovsky不久后就在reddit上表示他也意识到没能完全解决GAN训练稳定性,认为关键在于原设计中Lipschitz限制的施加方式不对,并在新论文中提出了相应的改进方案--WGAN-GP ,从we...
The developed Python source code with an online manual is available at the public repository GitHub (https://github.com/urakubo/UNI-EM). Figure 1 GUIs of UNI-EM. (A) Proofreader Dojo with extension. The GUI of Dojo was reorganized. Users can rectify mis-segmentation as well as build ...
python dictionary containing "linear_cache" and "activation_cache"; stored for computing the backward pass efficiently """ if activation == "sigmoid": # Inputs: "A_prev, W, b". Outputs: "A, activation_cache". ### START CODE HERE ### (≈ 2 lines of code) Z, linear_cache = ...
Code availability All computer code developed in this work is released either in the general DeepQMC package available on Zenodo (https://doi.org/10.5281/zenodo.3960827)52 and developed on Github (https://github.com/deepqmc/deepqmc), or in the project-specific repository (https://doi.org/10...
We implement DeepCAPE in Python using Keras (https://keras.io) with Tensorflow as the backend, while the Theano backend also generated very close results according to our test. The NVIDIA GeForce GTX 1080Ti GPU is used to accelerate the computation. We have released our code in Github (http...
Keras Python code, the training datasets and EddyNet weights files are open-source and freely available on https://github.com/redouanelg/EddyNet. 展开 关键词: Training Measurement Neural networks Databases Sea surface DOI: 10.1109/IGARSS.2018.8518411 年份: 2018 ...
add code for the random search Jul 8, 2022 https://arxiv.org/abs/2207.08148 Weight organization matters! One of the things you need is a good neuronal organization. We propose the Preferential Attachment (PA) Rewiring technique for minimizing the strength of randomly initialized neurons. The reo...
add( Delay(10000000), Systask('finish'), ) # output source code if filename is not None: m.to_verilog(filename) # run simulation sim = simulation.Simulator(m, sim=simtype) rslt = sim.run(outputfile=outputfile) print(rslt) Let's run the example. python3 hello_nngen.py You will ...