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Learner Reviews & Feedback for Generating New Recipes using GPT-2 by Coursera Project Network
19 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.
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1 - 3 of 3 Reviews for Generating New Recipes using GPT-2
By Raj R
•Aug 25, 2020
Excellent hands-on experience on how to do use big Models like GPT-2
By Samar M
•Aug 30, 2020
Thank you for your efforts but resources of this course not available once the course have completed!!
By Mayur S
•Sep 24, 2020
One of my primary motivation to opt for this course was to understand how to fine-tune GPT2. Bit disappointed.
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