Basic Image Classification with TensorFlow
In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Note: This course works best for learners who are based in the North America region.
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- Level Beginner
- Duration 2 hours
- Course by Coursera Project Network
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In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. 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.Modules
Basic Image Classification
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2
Readings
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Plugin
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Lab
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Assignment
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Assignment
- Check Your Understanding
- Basic Image Classification
1
Labs
- Basic Image Classification
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Readings
- Project-Based Course Overview
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Discover the fundamentals of neural networks with "Basic Image Classification with TensorFlow," a 2-hour beginner course from Coursera. Led by expert instructors, you'll learn to use Keras and TensorFlow to create, train, and evaluate a Neural Network model for digit recognition. Ideal for data science and AI enthusiasts, this free course focuses on hands-on learning through a project-based approach. Perfect for learners in North America.
Amit Yadav