GitHub

  • This is a pure Tensorflow implementation of Deep Photo Styletransfer, the torch implementation could be found here

    This implementation support L-BFGS-B (which is what the original authors used) and Adam in case the ScipyOptimizerInterface incompatible when Tensorflow upgrades to higher version.

  • is to generate segmented intermediate result like torch file neuralstyle_seg.
  • uses this intermediate result to generate final result like torch file deepmatting_seg.
  • Run to see a list of all options

    This repository doesn’t offer image segmentation script and simply use the segmentation image from the torch version.

  • Here are more results from tensorflow algorithm (from left to right are input, style, torch results and tensorflow results)

    If you find this code useful for your research, please cite:

    Feel free to contact me if there is any question (Yang Liu lyng_95@zju.edu.cn).

deep-photo-styletransfer-tf – Tensorflow (Python API) implementation of Deep Photo Style Transfer
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Facebook open sources Caffe2, its flexible deep learning framework of choice

Facebook open sources Caffe2, its flexible deep learning framework of choice  #F82017

  • Today Facebook open sourced Caffe2.
  • Back in October, Facebook announced Caffe2Go, what effectively was a mobile CPU and GPU optimized version of Caffe2 (they even both have Caffe2 in their names if you parse it right).
  • Today’s release accompanies partnerships at the hardware, device and cloud levels.
  • Prior to release, Caffe2 was deployed at scale across Facebook.
  • Caffe models can be easily converted to Caffe2 models with a utility script.

Today Facebook open sourced Caffe2. The deep learning framework follows in the steps of the original Caffe, a project started at the University of California,..
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Are You Ready for Robot Colleagues?

Ready?

  • To enjoy more articles like this one sign in , or create an account .
  • sign up for a free account : comment on articles and get access to many more articles.
  • The article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.
  • Schmitt comes at the questions not as a computer scientist but as a marketing expert.
  • What’s happening the week at the intersection of management and technology.

In the future workplace, humans may supplement the skills of machines — and not the other way around.

Continue reading “Are You Ready for Robot Colleagues?”

Are You Ready for Robot Colleagues?

Ready?

  • To enjoy more articles like this one sign in , or create an account .
  • sign up for a free account : comment on articles and get access to many more articles.
  • What’s happening the week at the intersection of management and technology.
  • The article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.
  • Schmitt comes at the questions not as a computer scientist but as a marketing expert.

In the future workplace, humans may supplement the skills of machines — and not the other way around.

Continue reading “Are You Ready for Robot Colleagues?”