Build AI Plant Classification App in Android (30 Minutes!)

Build AI Plant Classification App in Android (30 Minutes!), available at Free, has an average rating of 4, with 10 lectures, based on 41 reviews, and has 2104 subscribers.

You will learn about Define image processing and the dataset creation process Create Convolutional Neural Network structures for datasets Program Python neural networks on real-life datasets Deploy machine learning models to mobile devices This course is ideal for individuals who are Python developers curious about data science It is particularly useful for Python developers curious about data science.

Enroll now: Build AI Plant Classification App in Android (30 Minutes!)

Summary

Title: Build AI Plant Classification App in Android (30 Minutes!)

Price: Free

Average Rating: 4

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Define image processing and the dataset creation process
Create Convolutional Neural Network structures for datasets
Program Python neural networks on real-life datasets
Deploy machine learning models to mobile devices

Who Should Attend

Python developers curious about data science

Target Audiences

Python developers curious about data science

This FREEcourse teaches students how to build an AI, plant classifying app from scratch in LESS THAN ONE HOUR!

In just one hour, you will have your own, fully-functioning AI appin your hands!

You’ll learn the true theory behind Convolutional Neural Networks, while also understanding how to deploy ML models to mobile devices.

Topics covered include:

Dataset processing (i.e. images and pixel conversions)
Neural networks (how classification and layers work together)
Convolutions (filters to extract key image features)
Padding and Pooling (methods for data minimization and maximization)
Python ML model creation (using TensorFlow, GPUs, TPUs, and Google Colab software)
Deploying .tflite models to mobile devices
Testing results with actual samples, and next steps for mobile development!

The example covered in this course is for plants, but you can scale this code to ANY DATASET!This course teaches you to build a product you can actually use! At the end of the course, you will have an industry-level app in your hands! Just a few minutes!

Materials:

Computer/Laptop
Internet Connection
Google Account

This course is perfect for beginners to Python or data science, or those who are curious about general machine learning concepts. This course provides a rapid introduction to Convolutional Neural Networks, and provides the theory and programming knowledge to kickstart your AI career!

Course Curriculum

Chapter 1: Convolutional Neural Networks & Datasets

Lecture 1: Image Processing

Lecture 2: Training, Validation & Testing Datasets

Lecture 3: Neural Networks

Lecture 4: Convolutions & Filters

Lecture 5: Padding

Lecture 6: Pooling

Lecture 7: Summary & Overview

Chapter 2: Model Programming & Deployment

Lecture 1: Building CNNs: Python TensorFlow & Google Colab

Lecture 2: Deploying CNNs to Android Studio

Lecture 3: Viewing Real Time AI Plant App! & Conclusion

Instructors

The Codex Initiative
Instructor at Udemy

Rating Distribution

1 stars: 3 votes
2 stars: 4 votes
3 stars: 7 votes
4 stars: 14 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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