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This course includes
- 3h 5m of video
- 8 lessons
- Level: Intermediate
- Spoken in English
- Your place is remembered
- Free in full, no card
Lessons
1 sections · 8 lessons · 3h 5m total length
Lessons 1 to 88 lessons · 3h 5m
- Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement10m
- Deep learning project end to end | Potato Disease Classification - 2 :Data collection, preprocessing32m
- Deep learning project end to end | Potato Disease Classification - 3 : Model Building28m
- Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend37m
- Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)21m
- Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API18m
- Deep learning project end to end | Potato Disease Classification - 7 : Model Deployment To GCP28m
- Deep learning project end to end | Potato Disease Classification - 8 : Mobile App in React Native12m
What you need
- Some grounding helps; this one picks up past the basics.
Description
Deep learning project end to end that one can use as an inspiration for their final year project idea or to build an application that can be used in real life. These projects are in python, sklearn, tensorflow etc and they cover building a machine learning model, running a server around it and building a web or mobile app that can call this server.
Who this course is for
- People who know the basics of Machine learning and want to go further.
Those two are our reading of the course's level. The description is the author's own.