Build Your Own AI Assistant - Object Classification with Python

Learn how to build an AI assistant capable of recognizing faces, people, and specific objects using Python, Google Colab, and TensorFlow in this 56-minute video tutorial. Explore the fundamentals of machine learning, image processing, and neural networks while gaining hands-on experience with object classifiers. Discover the intricacies of tensors, datasets, and the training and testing process flow. Follow along with a live demonstration and get insights into next steps for further development. Perfect for those interested in AI and computer vision, this tutorial provides a comprehensive introduction to building intelligent systems using freely available tools and resources.

Introduction
Overview of the session
Google Colab
How does machine learning work?
Image Processing
Like a subscribe & CTA
What is a Neuron?
How Neural Networks Work
Full Model
How does ML actually work though?
Normalisation
Tensors
What is a Tensor?
Fashion-MNist Dataset
Fashion-MNist example image
Training and Testing - process flow
TwitcherPi Images
Demo Time
Next Steps
Updates
1 Year of YouTubing
Q&A