Coursera Project Network
TensorFlow for Beginners: Basic Binary Image Classification

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Coursera Project Network

TensorFlow for Beginners: Basic Binary Image Classification

Soumava Dey

Instructor: Soumava Dey

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
90 minutes
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
90 minutes
Learn at your own pace
Hands-on learning

What you'll learn

  • 1. Build and train a neural network and machine learning models in TensorFlow for image recognition and binary classification tasks

  • 2. Enhance model generalization and performance by using techniques for preprocessing image, including resizing, normalization, and data augmentation

  • 3. Assess neural network models, gauge their precision, and adjust model parameters as necessary to enhance accuracy

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:

  1. Understand the Neural Network theory and the basics of TensorFlow

  2. Dataset load and image preprocessing

  3. Create your first convolutional neural network model for image classification

  4. Evaluate performance of the base model

  5. Address model overfitting issue

  6. Practice activity

  7. Cumulative activity

8 project images

Instructor

Soumava Dey
Coursera Project Network
2 Courses927 learners

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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