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.
Basic Image Classification with TensorFlow
Basic Image Classification with TensorFlow
Instructor: Amit Yadav
Sponsored by Southern Federal University
25,983 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.6
(825 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Create, train and evaluate a neural network in TensorFlow
Understand the basics of neural networks
Solve classification problems with neural networks
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Encode the labels
Understand neural networks
Preprocess image examples
Create a neural network model
Train the model to fit the dataset
Evaluate the model
Visualize the predictions
Recommended experience
Some experience in Python programming is recommended
7 project images
Instructor
Instructor ratings
4.5 (47 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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