Day 17 Fast: (CNNs)—Master Image Recognition Magic! | #DailyAIWizard - video Dailymotion

DailyAIWizard

Welcome to Day 17 of DailyAIWizard, where we’re mastering the magic of Convolutional Neural Networks (CNNs)! I’m Anastasia, your thrilled AI guide, joined by Sophia for a spellbinding Python demo classifying cat and dog images using TensorFlow. Learn how CNNs power image recognition in self-driving cars, medical imaging, and more! Perfect for beginners or those following our AI series (Days 1–16). This lesson will ignite your AI passion—let’s make image magic together! Curious about Day 18? Two new wizards will join us for even more AI surprises!    Task of the Day: Build a CNN using Python to classify images (like cats vs. dogs) and share your accuracy in the comments! Let’s see your image recognition magic!    Learn More: Visit www.oliverbodemer.eu/dailyaiwizard for resources   Subscribe: Don’t miss Day 18 on Recurrent Neural Networks, where two new guides will spark more AI magic! Hit the bell for daily lessons!    Previous Lessons:    • Day 1: What is AI?    • Day 15: Neural Networks: The Basics    • Day 16: Deep Learning and Neural NetworksNote: Full playlist linked in the description.   #AIForBeginners #ConvolutionalNeuralNetworks #CNNs #WisdomAcademyAI #PythonDemo #TensorFlowDemo #ImageRecognition

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00:00welcome to day 17 of wisdom academy ai my incredible wizards i'm anastasia your thrilled

00:15ai guide and i'm buzzing with excitement ever wondered how ai recognizes faces or objects in

00:21photos today we're diving into convolutional neural networks cnn's the magic behind image

00:26recognition sophia's here to make it unforgettable with a demo over to you sophia

00:31cnn's are our star today and i'm so excited convolutional neural networks are deep learning

00:41models for image processing they detect patterns like edges and textures excelling in tasks like

00:46classification and object detection inspired by the human visual system cnn's are a magical leap in

00:53ai vision get ready to be amazed by their power let's dive deeper

00:57why use cnn's i'm so thrilled to share they process images efficiently reducing parameters compared to

01:09standard networks cnn's learn hierarchical features from edges to complex objects and outperform

01:16traditional methods in vision tasks for example they power object detection in self-driving cars

01:21this is ai vision at its finest let's see why they're so magical

01:25let's see how cnn's work it's magical the input is an image represented as pixel numbers

01:36convolution detects features like edges creating feature maps pooling reduces their size while

01:42keeping key features and fully connected layers make predictions this pipeline transforms images

01:47into insights i'm so excited to break it down

01:49training cnn's is fascinating the forward pass sends images through layers to predict we calculate

02:00loss by comparing predictions to actual labels back propagation adjusts weights and gradient descent

02:06optimizes them this process crafts powerful models i'm so excited to train one

02:11cnn's cnn's that's a wrap for day 17 my amazing wizards i'm anastasia and i'm so grateful you joined

02:40us to explore cnn's it's been a magical journey your true wizards for diving into image recognition

02:45like subscribe and hit the bell for more lessons tomorrow we'll explore recurrent neural networks

02:51and guess what two new wizards will join us to spark even more curiosity

Day 17 Fast: (CNNs)—Master Image Recognition Magic! | #DailyAIWizard

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