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!

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?
๐ Course Title: Build AI Plant Classification App in Android (30 Minutes!)
๐ Course Headline: ๐ฑ๐ค Learn how to build a plant classifying AI app in less than an hour! Perfect intro to neural networks and mobile apps!
๐ 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.
๐ 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.
๐ 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.
๐ 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.
๐ ๏ธ Materials Needed:
- A computer or laptop.
- Internet connection.
- A Google account.
๐ 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! ๐
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