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Published May 4, 2017 | Version v1.9.0
Software Open

NervanaSystems/neon: Generative Adversarial Networks, 3D Deconvolution, doc updates and bug fixes

Description

  • Add support for 3D deconvolution
  • Generative Adversarial Networks (GAN) implementation, and MNIST DCGAN example, following GoodFellow 2014 (http://arXiv.org/abs/1406.2661)
  • Implement Wasserstein GAN cost function and make associated API changes for GAN models
  • Add a new benchmarking script with per-layer timings
  • Add weight clipping for GDM, RMSProp, Adagrad, Adadelta and Adam optimizers
  • Make multicost an explicit choice in mnist_branch.py example
  • Enable NMS kernels to work with normalized boxes and offset
  • Fix missing links in api.rst [#366]
  • Fix docstring for --datatype option to neon [#367]
  • Fix perl shebang in maxas.py and allow for build with numpy 1.12 [#356]
  • Replace os.path.join for Windows interoperability [#351]
  • Update aeon to 0.2.7 to fix a seg fault on termination

Files

NervanaSystems/neon-v1.9.0.zip

Files (3.2 MB)

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