Title

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

Learn how to build a plant classifying AI app in less than hour! Perfect intro to neural networks and mobile apps!

3.86 (45 reviews)
Udemy
platform
English
language
Data Science
category
Build AI Plant Classification App in Android (30 Minutes!)
2โ€ฏ248
students
44 mins
content
Oct 2022
last update
FREE
regular price

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

Why take this course?

๐Ÿš€ Course Title: Build AI Plant Classification App in Android (30 Minutes!)

๐ŸŽ‰ Course Headline: ๐ŸŒฑ๐Ÿค– Learn how to build a plant classifying AI app in less than an hour! Perfect intro to neural networks and mobile apps!

๐Ÿ“š Course Description: This FREE course is your gateway to harnessing the power of Artificial Intelligence within the span of just 30 minutes! Dive into the world of machine learning by building an AI-driven, plant classifying app from scratch, directly on an Android device.

๐Ÿ•’ In Just One Hour:

  • You will have a fully-functioning AI app in your hands.
  • Master the core concepts behind Convolutional Neural Networks (CNNs).
  • Understand how to deploy Machine Learning (ML) models onto mobile devices.

๐ŸŽ“ Key Topics Covered:

  • Dataset Processing: Learn to handle image datasets and perform pixel conversions.
  • Neural Networks Explained: Discover how classification and layers come together to power AI applications.
  • Convolutions Demystified: Understand the role of filters in extracting key image features.
  • Padding and Pooling Techniques: Grasp methods for data minimization (padding) and maximization (pooling).
  • Python ML Model Creation: Utilize TensorFlow, GPUs, TPUs, and Google Colab to build your model.
  • Deployment on Mobile Devices: Learn the ins and outs of converting your model into a .tflite format for Android devices.
  • Real-World Testing: Put your app to the test with actual plant samples.
  • Next Steps in Mobile Development: Explore how to take your project to the next level.

๐Ÿ” Who This Course Is For: This course is tailored for:

  • Beginners to Python or data science who wish to get a hands-on feel of AI applications.
  • Individuals curious about understanding machine learning concepts.
  • Aspiring developers looking to kickstart their AI career with practical knowledge and skills.

๐Ÿ› ๏ธ Materials Needed:

  • A computer or laptop.
  • Internet connection.
  • A Google account.

๐ŸŽ“ Why Take This Course? This rapid-fire introduction to Convolutional Neural Networks is designed to provide you with a solid theoretical foundation and practical programming skills that you can apply to any dataset, not just plants! By the end of this course, you'll have an industry-level app in your hands, achieved in just a few minutes!

Get ready to transform your curiosity into expertise with AI on mobile platforms. Enroll now and start building your very own AI app today! ๐ŸŒŸ

Screenshots

Build AI Plant Classification App in Android (30 Minutes!) - Screenshot_01Build AI Plant Classification App in Android (30 Minutes!) - Screenshot_02Build AI Plant Classification App in Android (30 Minutes!) - Screenshot_03Build AI Plant Classification App in Android (30 Minutes!) - Screenshot_04

Reviews

Teni
June 2, 2024
Good Explanation about CNN. Suggestion to Modify the Videos: Some of the explanation goes out of the Screen window and not visible in the video.
Jonathan
March 8, 2024
Muy bien explicado. Excelente curso como introducciรณn a los modelos IA y redes neuronales convolucionales.
Noel
November 26, 2022
good course.... nice project for beginners learned about basics of ML and CNNs in a detailed manner good explanations and interactive
Zach
October 13, 2022
Wow! I've taken a lot of AI courses on several platforms but this instructor was very clear! Had a finished app in-hand in less than an hour. Very impressive work for his age too..!

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4921688
udemy ID
10/10/2022
course created date
13/10/2022
course indexed date
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