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學生對 Coursera Project Network 提供的 Generating New Recipes using GPT-2 的評價和反饋

4.1
38 個評分

課程概述

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....

熱門審閱

RM

2022年4月20日

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

RR

2020年8月24日

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

篩選依據:

1 - Generating New Recipes using GPT-2 的 8 個評論(共 8 個)

創建者 Rossana M

2022年4月20日

創建者 Raj R

2020年8月25日

創建者 Samar M

2020年8月30日

創建者 Jorge G

2021年2月25日

創建者 Mohammad J

2022年3月8日

創建者 Gencho Z

2022年9月11日

創建者 Alejandro N

2021年12月29日

創建者 Mayur S

2020年9月24日