4 Sections
15 Lessons
2 Weeks
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MODULE 1: INTRODUCTION TO DEEP LEARNING
3
1.1
What is Deep Learning?
5 Minutes
1.2
Overview of Deep Learning Models
1.3
Practical Applications
MODULE 2: FOUNDATIONS OF NEURAL NETWORKS – SEQUENTIAL MODELS
4
2.1
Introduction to Neural Networks
2.2
Building a Sequential Model
2.3
Training and Optimization
2.4
Hands-On Practice: Simple Classification Task
MODULE 3: INTRODUCTION TO IMAGE BASICS
5
3.1
Image Representation
3.2
Image Resolution and Quality
3.3
Pixels and Their Role in Image Analysis
3.4
Basic Image Manipulations
3.5
Live class
MODULE 4: CONVOLUTIONAL NEURAL NETWORKS (CNNs) – INTRODUCTION
3
4.1
CNN Essentials
4.2
CNN Architecture
4.3
Hands-On Practice: Building a Simple CNN
Deep Learning – Neural Network Foundations
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