Hi everyone, Hope everyone is doing great 🙂
In this video, I have covered –
💡 Class: 12th
💡 Subject: Artificial Intelligence
💡 Unit: 6
💡 Topic: Understanding Neural Networks
💡 Study Material | Notes | Book | Syllabus:
https://youth-af.com/class/class-12/artificial_intelligence
Complete Class 12th Artificial Intelligence Playlist –
https://youtube.com/playlist?list=PLdFqKUpCmQ8pO60-suP5wWpOMJJnOO_bW&si=ZJXuL5B9wUeaChdY
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Sections Covered :-
0:00 – Start
0:00 – Intro to Class 12 AI Unit 6: Understanding Neural Networks
0:44 – Real-life examples of Neural Networks (YouTube, Netflix, Face Unlock, Google Translate)
1:01 – What is a Neural Network? Inspiration from the Human Brain
1:34 – How Biological Neurons Work (Dendrites, Axon, Signal Processing)
2:22 – Artificial vs Biological Neurons
3:02 – Definition of Artificial Neural Networks (ANN)
3:43 – Basic Structure of a Neural Network (Input, Hidden, Output)
4:13 – Input Layer Explained with Examples
5:08 – Hidden Layer and Pattern Detection
5:55 – Output Layer and Final Predictions
6:18 – Components of Neural Networks Overview
6:26 – Artificial Neuron (Basic Building Block)
7:30 – Weights in Neural Networks
8:04 – Bias and Why It Is Needed
8:36 – Activation Functions (ReLU, Sigmoid, Softmax)
9:50 – Connections Between Neurons
10:37 – Working of Neural Networks
10:45 – Forward Propagation (Input → Prediction → Loss)
11:42 – Backpropagation and Error Correction
12:41 – Mathematical Formula of a Neuron
13:55 – Types of Neural Networks Overview
14:02 – Perceptron (Binary Classification)
14:20 – Feedforward Neural Networks / Multi-Layer Perceptrons
14:44 – Convolutional Neural Networks (CNN) for Images
15:11 – Recurrent Neural Networks (RNN) for Sequential Data
15:42 – Real-World Applications of Neural Networks
16:17 – Positive Societal Impacts of AI
16:59 – Economic Impact and Productivity
17:15 – Negative Impacts (Job Loss, Data Privacy, Bias, Deepfakes)
18:05 – Conclusion and Key Takeaways
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