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machine learning
Section 1
Introduction to Machine Learning
Basic Concepts of Machine Learning
Supervised Learning Overview
Unsupervised Learning Concepts
Section 2
Machine Learning Models
Linear Regression in-depth
Decision Trees and Random Forest Overview
Logistic Regression Fundamentals
Section 3
Neural Networks and Deep Learning
Deep Learning Concepts and Applications
Understanding CNNs
Neural Networks Basics
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Unit 3 • Chapter 2
Understanding CNNs
Summary
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Concept Check
What does CNN stand for?
Convolutional Network
Convolutional Neural Net
Neural Convolutional Network
Convolutional Neural Network
What is a key feature of CNNs?
Feature learning
Pattern recognition
Supervised learning
Deep learning
Where are CNNs commonly used?
Image recognition
Speech recognition
Text analysis
Time series forecasting
What does the convolutional layer in CNNs do?
Performs classification
Extracts features
Normalizes data
Reduces noise
What is a pooling layer in CNN responsible for?
Upsampling
Downsampling
Normalization
Feature extraction
Check Correctness
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Deep Learning Concepts and Applications
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Neural Networks Basics