Back to Generating New Recipes using GPT-2
Learner Reviews & Feedback for Generating New Recipes using GPT-2 by Coursera Project Network
37 ratings
About the Course
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.
Top reviews
RM
Apr 20, 2022
Really fun project with knowledgeable instructor. Highly recommended. :)
RR
Aug 24, 2020
Excellent hands-on experience on how to do use big Models like GPT-2
Filter by:
1 - 8 of 8 Reviews for Generating New Recipes using GPT-2
By Rossana M
•Apr 20, 2022
By Raj R
•Aug 25, 2020
By Samar M
•Aug 30, 2020
By Jorge G
•Feb 25, 2021
By Mohammad J
•Mar 8, 2022
By Gencho Z
•Sep 11, 2022
By Alejandro N
•Dec 29, 2021
By Mayur S
•Sep 24, 2020
Coursera Footer
© 2022 Coursera Inc. All rights reserved.
