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学生对 Coursera Project Network 提供的 Generating New Recipes using GPT-2 的评价和反馈

38 个评分


In this 2 hour long project, you will learn how to preprocess a text dataset comprising recipes, and split it into a training and validation set. You will learn how to use the HuggingFace library to fine-tune a deep, generative model, and specifically how to train such a model on Google Colab. Finally, you will learn how to use GPT-2 effectively to create realistic and unique recipes from lists of ingredients based on the aforementioned dataset. This project aims to teach you how to fine-tune a large-scale model, and the sheer magnitude of resources it takes for these models to learn. You will also learn about knowledge distillation and its efficacy in use cases such as this one. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....



Apr 20, 2022

Really fun project with knowledgeable instructor. Highly recommended. :)


Aug 24, 2020

Excellent hands-on experience on how to do use big Models like GPT-2


1 - Generating New Recipes using GPT-2 的 8 个评论(共 8 个)

创建者 Rossana M

Apr 20, 2022

创建者 Raj R

Aug 25, 2020

创建者 Samar M

Aug 30, 2020

创建者 Jorge G

Feb 25, 2021

创建者 Mohammad J

Mar 8, 2022

创建者 Gencho Z

Sep 11, 2022

创建者 Alejandro N

Dec 29, 2021

创建者 Mayur S

Sep 24, 2020