Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement

This is the first video in end to end deep learning project series in agriculture domain. Farmers every year face economic loss and crop waste due to various diseases in potato plants. We will use image classification using CNN and built a mobile app using which a farmer can take a picture and app will tell you if the plant has a disease or not. 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
Deployment: GCP (Google cloud platform, GCF (Google cloud functions)

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

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⭐️ Timestamps ⭐️
00:00 Introduction
00:42 Problem statement
01:33 Possible solution for this problem
02:42 Technical architecture
07:52 Project pre-requisites

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Видео Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement канала codebasics