Chevron Left
返回到 Generating New Recipes using GPT-2

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

32 个评分
4 条评论


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....



1 - Generating New Recipes using GPT-2 的 4 个评论(共 4 个)

创建者 Raj R

Aug 25, 2020

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

创建者 Samar M

Aug 30, 2020

Thank you for your efforts but resources of this course not available once the course have completed!!

创建者 Jorge G

Feb 25, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

创建者 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.