#Machine Learning

Ashley Binford |

Reproducing h-detach: Modifying the LSTM Gradient Towards Better Optimization   > Interested in learning more about the Reproducibility ...

#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...

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#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...

#Machine Learning

#Tutorials

Gideon Mendels |

Testing OpenAI’s GPT-2 text generator model to write the next killer blog post   A snapshot an interactive visualization of a generator and discriminator interacting from GAN Lab ...

#Academic Research

#Machine Learning

Gideon Mendels |

  Photo by Samuel Zeller on Unsplash Note: this article originally appeared on Oscar Chang’s website at https://crazyoscarchang.github.io/2019/02/16/seven-myths-in-machine-learning-r...

#Machine Learning

#Tutorials

Gideon Mendels |

  Note: this article originally appeared on Raúl Gómez’s website at https://gombru.gith...

#Product

Gideon Mendels |

  Programmatically access your machine learning system of record Accessing your model weights, metrics, hyperparameters, images, and other workflow artifacts should be easy for 10...

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