Potato Disease Classification: Deep learning project end to end


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Potato Disease Classification: Deep learning project end to end

End to end deep learning project to classify disease in potato plants as either early blight or late blight.

Created by :Dhaval Patel
Last Updated :Oct 12, 2021 7:56 AM

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.

System Requirements

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

Get Certificate!

When You Complete This Course

You receive a ‘Certificate of Completion’ signed and addressed personally by me, your guide and mentor – Dhaval Patel

Add and Share this certificate with your Resume/ CV or on your LinkedIn Profile

(Congratulations! You are officially a Lifetime Member of the Code basics Community.)

Meet your course instructor

Dhaval Patel

Data Engineer | Software Architect

I have 17 years of experience in programming and data science working for big tech companies like NVIDIA and Bloomberg. I also run a famous youtube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on youtube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.