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Convolutional Neural Network Part One: Preparing the CIFAR10 Dataset
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In this episode, we'll examine our CIFAR 10 dataset as we start our computer vision script to classify these images using a Convolutional Neural Network, or CNN. We're going to import our dataset, prepare it for processing, then explore and spot-test it to make sure images are looking as they should. At the same time, we will start our Python script, importing our important libraries that we'll use to get started. Special thanks to the research team at CIFAR, who made these available via Keras. Let's go!
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Related Videos:
Building a Database Application with ChatGPT
Convolutional Neural Network Part One: Preparing the CIFAR10 Dataset
You are watching this one now!
Convolutional Neural Network Part Two: Building a CNN for Computer Vision
Wildfire Time Lapse with Artificial Intelligence Prediction
Modify a Simple Machine Learning Script for Use with Your Data
How to Use Python to Build an Artificial Neural Network for Classification
Join me on Patreon!
Demo of my BZ RDP Cloaker:
Want the code from this video?
Interested in transforming your career or finding your next gig?
Want my team to do a project for you? Let's get to it!
Follow me on social media:
Get Microsoft Office including Access:
Got a YouTube Channel? I use TubeBuddy, it is awesome. Give it a try:
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