Nightmare Hellface Generator is Cutting-Edge Machine Learning

Nightmare hellface generator is cutting-edge machine learning:

  • Draw something in a little box and an algorithm will try to interpret it as a cat and then fill in the colors and textures according to a machine learning model training on thousands of cat images.
  • The pix2pix project demonstrates something pretty profound about machine learning circa 2017: It’s awful at generating new images, or at least meaningful new images.
  • Machine learning is better at classifying existing images, but, even then, things drop off dramatically as we move beyond a handful of really robust object-recognition models.
  • GANs work by training generative models that seek to minimize a particular “loss function” according to a prediction that the generated image is fake or real.
  • Rather than learn how to produce images from scratch, the model here learns to map the abstract image representation contained within a machine learning model to a trackpad doodle.

Generative adversarial networks strike again.
Continue reading “Nightmare Hellface Generator is Cutting-Edge Machine Learning”

Nightmare Hellface Generator is Cutting-Edge Machine Learning

Nightmare hellface generator is cutting-edge machine learning

  • Draw something in a little box and an algorithm will try to interpret it as a cat and then fill in the colors and textures according to a machine learning model training on thousands of cat images.
  • The pix2pix project demonstrates something pretty profound about machine learning circa 2017: It’s awful at generating new images, or at least meaningful new images.
  • Machine learning is better at classifying existing images, but, even then, things drop off dramatically as we move beyond a handful of really robust object-recognition models.
  • GANs work by training generative models that seek to minimize a particular “loss function” according to a prediction that the generated image is fake or real.
  • Rather than learn how to produce images from scratch, the model here learns to map the abstract image representation contained within a machine learning model to a trackpad doodle.

Generative adversarial networks strike again.
Continue reading “Nightmare Hellface Generator is Cutting-Edge Machine Learning”

Scikit-Learn Tutorial Series – Data Science Central

9-part Scikit-Learn Tutorial Series:  #abdsc #BigData #Python #MachineLearning #DataScience

  • Kaggle released a series with tutorials in their blog.
  • I recommend to anyone who is starting or want to learn more about the tool.
  • by Diego Marinho de Oliveira
  • Data Science Central
  • Scikit-Learn Tutorial Series

Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool.
Continue reading “Scikit-Learn Tutorial Series – Data Science Central”

Baidu open-sources Python-driven machine learning framework

Baidu open-sources Python-driven machine learning framework   #python

  • Training can be distributed across a cluster of machines , with or without GPUs.
  • Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning system it claims is easier to train and use because it exposes its functions through Python libraries.
  • Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries.
  • The user can program directly to the C++ libraries, but PaddlePaddle provides a Python library, PyDataProvider2 , that removes much of the heavy lifting from the training process.
  • Baidu has plans in the works for adding support for other languages when performing predictions, but Xu said there are currently no intentions to support anything other than Python for model training. “

Baidu employs the PaddlePaddle framework internally for prediction systems, along with Python to make training models and deriving predictions a snap
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