#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.   ...

#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...

#Product

Gideon Mendels |

  Comet.ml allows you to automatically track your machine learning code, experiments, hyperparame...

#Product

Gideon Mendels |

Our experience hosting New York data scientists and researchers from academia and industry   Our speaker Melanie Weber, Columbia PhD candidate, explains how she and her team deve...

#Tutorials

Gideon Mendels |

In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) i...

#Tutorials

Gideon Mendels |

  Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the...

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