Back to Machine Learning with ChatGPT: Image Classification Model
Learner Reviews & Feedback for Machine Learning with ChatGPT: Image Classification Model by Coursera Project Network
24 ratings
About the Course
In this 1-hour project, you will learn how to build a machine learning model using ChatGPT. We will use the MNIST database which is a large database of handwritten digits that is commonly used for training various image processing systems.
You will be introduced to the process of fine-tuning, which involves adjusting the model's parameters to learn task-specific relationships between input and output. You will import the necessary libraries and load the data, and then split the data into training and testing sets. You will then define the model architecture, compile the model, and train it on the training data. After training, you will evaluate the model's performance on the testing data and make any necessary adjustments.
This course is aimed at learners who are looking to get started with ChatGPT and explore how it can be used for coding and Machine Learning tasks. Prerequisites include a Google account and basic coding and machine learning knowledge. By the end of this project, you will have a solid understanding of how to build a machine learning model using ChatGPT.
This project will provide you with step-by-step guidance through instructor-led videos. Unlike some other projects on Coursera, this experience will not utilize a virtual machine. Instead, learners will complete the project on their own browser or device.
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1 - 5 of 5 Reviews for Machine Learning with ChatGPT: Image Classification Model
By Annalisa
•Jul 11, 2023
Really useful course!
By Sooraj S
•May 13, 2023
Definitely a good one. I expected a bit more input.
By Soumyajit P
•Jun 3, 2023
There is very little scope to innovate or learn when you are doing everything using ChatGPT. However, it was a decent outing. Thank you.
By Jagdeep 2
•Mar 2, 2024
nice n thnx
By shibsankar m
•Aug 5, 2023
good