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:
Project Playlist :
Project Hindi Playlist : I am post processing videos in hindi, I will update the link here when it is ready (in next one week)
Deep learning tutorials:
26 views
10
2
7 years ago 01:35:03 167
10 - BigData. Deep learning
10 years ago 01:15:42 52
Deep Learning
5 years ago 01:45:57 20
Deep Learning with Torch
9 years ago 00:22:19 77
Deep Learning Demystified
9 years ago 01:47:00 48
Machine learning for neuroscience: HMMs, reinforcement learning, and deep learning