Machine Learning with ChatGPT: Image Classification Model
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.
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- Level Professional
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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عن
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.الوحدات
Your Learning Journey
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7
Videos
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3
Readings
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1
Plugin
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1
Lab
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1
Assignment
1
Assignment
- Assess Your Knowledge
1
Labs
- [Optional] Access Your GPT GenAI Playground
7
Videos
- 1. An Introduction to ChatGPT - Opportunities & Limitations
- 2. Build a Neural Network Using Keras of MNIST Dataset
- 3. Fine-Tune Code to Change Loss Function
- 4. Update to Use Convolutional Layer
- 5. Evaluate Model & Create Validation Set
- 6. Plot Training & Validation Loss & Random Images
- Capstone Activity
3
Readings
- Project Overview
- [Optional] The GPT Generative AI Lab Playground
- Resources and FAQs
Auto Summary
Explore the dynamic world of Machine Learning with ChatGPT in this engaging 1-hour project focused on image classification using the MNIST dataset. Guided by expert instructors from Coursera, you'll dive into fine-tuning models, importing libraries, and data splitting. Ideal for intermediate learners with basic coding and ML knowledge, this course offers hands-on experience without the need for a virtual machine. Enhance your skills and understanding of ML models with step-by-step, browser-based learning. Free subscription available.
Jousef Murad