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Back to Machine Learning with ChatGPT: Image Classification Model

Learner Reviews & Feedback for Machine Learning with ChatGPT: Image Classification Model by Coursera Project Network

4.3
stars
28 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 ...
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1 - 6 of 6 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

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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 Badri S

•

Oct 16, 2024

Good exposure to machine learning with chatgpt - image classification model

By Jagdeep 2

•

Mar 2, 2024

nice n thnx

By shibsankar m

•

Aug 5, 2023

good