#Product

Gideon Mendels |

The rush to build and deploy machine learning models has exposed cracks in traditional DevOps processes.   Infrastructure built for d...

#Machine Learning

#Product

Ashley Binford |

  Watch recording Despite significant progress in the deep learning space, implementing scalable machine learning pipelines still presents critical challenges. Even the best teams struggle w...

#Machine Learning

Gideon Mendels |

  Figure from Variational Sparse Coding Paper. Full paper here Interested in learning more about the Reproducibility Challenge? Read our kick-off piece here The third...

#Machine Learning

Dhruv Nair |

  R2D2 Meta-Learning Method. Full paper here Interview by Cecelia Shao The ...

#Machine Learning

Ashley Binford |

Reproducing h-detach: Modifying the LSTM Gradient Towards Better Optimization   > Interested in learning more about the Reproducibility Challenge? Read our kick-off piece here ...

#Machine Learning

#Product

Gideon Mendels |

  Author: Jeremy Jordan Originally published at https://www.jeremyjordan.me on September 1, 2018, and was updated recently to reflect new resources. The goal of th...

#Product

#Tutorials

Gideon Mendels |

Classifying fruits using a Keras multi-class image classification model and Google Open Images   ...

#Academic Research

Gideon Mendels |

Reproducing the paper ‘Learning Neural PDE Solvers with Convergence Guarantees’   Results of a hyperparameter search in order to find the optimal number of layers and l...

#Academic Research

Gideon Mendels |

We interview four teams with a mission to reproduce the latest in machine learning research as part of the 2019 ICLR Reproducibility Challenge.   Reproducibility is a pow...

#Tutorials

Gideon Mendels |

  Pre-trained models are easy to use, but are you glossing over details that could impact your model performance? How many times have you run the following snippets: import to...

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