Deep Learning Project from End to End Classification of Potato Diseases Using CNN – 1: Problem Statement

Deep Learning Project from End to End Classification of Potato Diseases Using CNN – 1: Problem Statement

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codebasics • Available on Youtube • Published 3 years ago
Deep learning project from start to finish Potato disease classification using CNN – 1: Problem statement
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This is the first video in the series of end-to-end deep learning projects in agriculture. Farmers face economic losses and crop wastage every year due to various diseases in potato plants. We will use image classification using CNN and build a mobile app that allows a farmer to take a photo and tell the app whether the plant has a disease or not. The technology stack for this project will be:

Model building: tensorflow, CNN, data augmentation, tf dataset
Backend Server and ML Ops: tf serving, FastAPI
Model optimization: quantization, Tensorflow lite
Frontend: React JS, React Native
Implementation: GCP (Google cloud platform, GCF (Google cloud functions)

Code: https://github.com/codebasics/potato-disease-classification

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️Timestamps️
00:00 Introduction
00:42 Problem definition
01:33 Possible solution for this problem
02:42 Technical architecture
07:52 Project requirements

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