Chevron Left
Generating New Recipes using GPT-2 に戻る

Coursera Project Network による Generating New Recipes using GPT-2 の受講者のレビューおよびフィードバック

4.1
38件の評価

コースについて

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....

人気のレビュー

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

フィルター:

Generating New Recipes using GPT-2: 1 - 8 / 8 レビュー

by Rossana M

2022年4月20日

by Raj R

2020年8月25日

by Samar M

2020年8月30日

by Jorge G

2021年2月25日

by Mohammad J

2022年3月8日

by Gencho Z

2022年9月11日

by Alejandro N

2021年12月29日

by Mayur S

2020年9月24日