Day 15 Fast: Neural Networks: The Basics—Unleash AI’s Brain Magic! | #DailyAIWizard - video Dailymotion

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Welcome to Day 15 of WisdomAcademyAI, where we’re unleashing the brain-like magic of Neural Networks!  I’m Anastasia, your thrilled AI guide, and today we’ll explore the basics of Neural Networks—the foundation of deep learning. Sophia joins me with a magical demo using Python and TensorFlow to classify customer churn—it’s spellbinding! Whether you’re new to AI or following along from Days 1–14, this 20-minute lesson will ignite your curiosity. Let’s make AI magic together!   Task of the Day: Build a Neural Network using Python (like in the demo) and share your accuracy in the comments!  Let’s see your magical results!    Subscribe for Daily Lessons: Don’t miss Day 16, where we’ll explore K-Means Clustering Basics. Hit the bell  to stay updated!   Watch Previous Lessons:   Day 1: What is AI?   Day 2: Types of AI   Day 3: Machine Learning vs. Deep Learning vs. AI   Day 4: How Does Machine Learning Work?   Day 5: Supervised Learning Explained   Day 6: Unsupervised Learning Explained   Day 7: Reinforcement Learning Basics   Day 8: Data in AI: Why It Matters   Day 9: Features and Labels in Machine Learning   Day 10: Training, Testing, and Validation Data   Day 11: Algorithms in Machine Learning (Overview)   Day 12: Linear Regression Basics   Day 13: Logistic Regression for Classification   Day 14: Decision Trees and Random Forests   #AIForBeginners #NeuralNetworks #DeepLearning #WisdomAcademyAI #PythonDemo #TensorFlowDemo #BrainMagic #dailyaiwizard

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00:00welcome to day 15 of wisdom academy ai my incredible wizards i'm anastasia your thrilled

00:11ai guide and i'm so excited to be here today have you ever wondered how ai mimics the human brain

00:17to learn and make decisions like recognizing images or predicting outcomes we're diving into

00:22neural networks the foundation of deep learning and it's going to be magical i brought my best

00:27friend sophia to share the excitement over to you sophia neural networks are our focus today and i'm

00:37so excited they're models inspired by the human brain designed to learn from data they're made of

00:43interconnected nodes called neurons that work together to process information they're used for

00:48tasks like classification regression and even image recognition for example they can recognize images

00:54or predict customer churn with high accuracy neural networks are a powerful ai brain simulation

00:59i'm thrilled to explore them

01:01why use neural networks let's find out i'm so thrilled they handle complex non-linear relationships

01:12in data capturing patterns other models might miss they're great for large data sets with many features

01:18scaling well for big problems they excel in tasks like image recognition speech recognition and more

01:24due to their flexibility for example they can predict diseases from symptoms with high accuracy

01:29neural networks are a magical tool for advanced ai i'm so excited to use them

01:34let's see how neural networks work and i'm so excited the input layer takes data features

01:43like age or income as the starting point hidden layers process the data learning patterns through

01:49interconnected neurons the output layer gives the final predictions like churn or not churn neurons connect

01:56with weights and biases adjusting to improve accuracy it's a magical flow of information i'm thrilled to follow it

02:08training a neural network is fascinating and i'm so excited the forward pass makes predictions by passing data

02:14through the layers to the output we calculate the loss which is the difference between predicted and actual values

02:19the backward pass or back propagation adjusts weights to reduce the loss we optimize using gradient descent

02:27finding the best weights over time it's a magical learning process i'm thrilled to learn it

02:33there are many types of neural networks and i'm so thrilled feed forward networks are simple with data

02:43flowing forward from input to output convolutional neural networks or cnn's are great for images

02:50capturing spatial patterns recurrent neural networks or rnns handle sequences like text or time series data

02:57for example a cnn can classify images identifying objects with high accuracy this variety offers

03:03magical networks for different tasks i'm so excited to explore them

03:11neural networks have amazing real world applications and i'm so inspired they power image recognition

03:18identifying objects and faces in photos with accuracy they enable speech recognition transcribing audio for

03:25assistance like siri or alexa they drive recommendation systems suggesting movies or products on platforms

03:32like netflix in medicine they detect diseases from scans aiding diagnosis neural networks are a magical

03:39tool for many fields i'm so thrilled by their impact

03:47let's compare deep learning and neural networks and i'm so excited neural networks are a general term for

03:53models with layered structures like the ones we're learning deep learning refers to neural networks with many

03:58many layers often dozens or hundreds deep networks are better for complex tasks like computer vision

04:04due to their depth they require more data and computation power to train effectively

04:08it's a magical evolution of ai i'm so thrilled to explore it

04:17here are tips for using neural networks and i'm so thrilled start with small networks for simplicity making

04:23them easier to understand and train normalize your data before training to ensure all features are on the

04:28same scale use dropout to prevent overfitting randomly disabling neurons during training experiment with

04:35different layers and activation functions to find the best setup keep practicing your brain magic

04:40i'm so excited for your progress

04:43i'm so excited for your progress

Day 15 Fast: Neural Networks: The Basics—Unleash AI’s Brain Magic! | #DailyAIWizard

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