What's Included

  • 8 Lectures
  • Access on tablet and phone

Preview

What you'll learn

  • We will build a mobile application in this project that can take a picture of the plant and tell the farmer if the plant has a disease or not. Technology stack of this project consists of TensorFlow, tf dataset, tf serving, FastAPI, data augmentation, react js, react native, Google cloud platform (for deployment), quantization, tf lite.

Course Curriculum

8 Lectures

00:00

Requirements

  • Deep learning,
  • TensorFlow,
  • FastAPI,
  • React JS,
  • React Native,

Description

End to end deep learning project to classify disease in potato plant as either early blight or late blight. We will build a mobile application in this project that can take a picture of the plant and tell the farmer if the plant has a disease or not. Technology stack of this project consists of tensorflow, tf dataset, tf serving, FastAPI, data augmentation, react js, react native, Google cloud platform (for deployment), quantization, tf lite.
 

Instructor

(5.9)

45 Courses

Student feedback

10.0

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its good project as i learned