This FREE course 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 app in 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!
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The Codex Initiative aims to deliver tactile, hands-on learning experiences for computer science and artificial intelligence.
The curriculums developed by the Codex Initiative are accessible to all learners, and are meant to be used as tools to inspire future projects and research into the worlds of CS and AI. Students should engage content through practical application, and should be able to tangibly visualize the progress of their learning.
