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- Welcome to the Course!
- BONUS: Learning Paths
- Some Additional Resources!!
- This PDF resource will help you a lot!
- FAQBot!
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- Your Shortcut To Becoming A Better Data Scientist!
- Study Tips For Success
Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹3,099
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Introduction
Module 1 - Face Detection Intuition
- Plan of attack
- Updates on Udemy Reviews
- Viola-Jones Algorithm
- Haar-like Features
- Integral Image
- Training Classifiers
- Adaptive Boosting (Adaboost)
- Cascading
- Face Detection Intuition
Module 1 - Face Detection with OpenCV
- Welcome to the Practical Applications
- Installations Instructions (once and for all!)
- Common Debug Tips
- Face Detection - Step 1
- Face Detection - Step 2
- Face Detection - Step 3
- Face Detection - Step 4
- Face Detection - Step 5
- Face Detection - Step 6
- Face Detection with OpenCV
Homework Challenge - Build a Happiness Detector
- Homework Challenge - Instructions
- Homework Challenge - Solution (Video)
- Homework Challenge - Solution (Code files)
Module 2 - Object Detection Intuition
- Plan of attack
- How SSD is different
- The Multi-Box Concept
- Predicting Object Positions
- The Scale Problem
- Object Detection Intuition
Module 2 - Object Detection with SSD
- Object Detection - Step 1
- Object Detection - Step 2
- Object Detection - Step 3
- Object Detection - Step 4
- Object Detection - Step 5
- Object Detection - Step 6
- Object Detection - Step 7
- Object Detection - Step 8
- Object Detection - Step 9
- Object Detection - Step 10
- Training the SSD
- Object Detection with SSD
Homework Challenge - Detect Epic Horses galloping in Monument Valley
- Homework Challenge - Instructions
- Homework Challenge - Solution (Video)
- Homework Challenge - Solution (Code files)
Module 3 - Generative Adversarial Networks (GANs) Intuition
- Plan of Attack
- The Idea Behind GANs
- How Do GANs Work? (Step 1)
- How Do GANs Work? (Step 2)
- How Do GANs Work? (Step 3)
- Applications of GANs
- Generative Adversarial Networks (GANs) Intuition
Module 3 - Image Creation with GANs
- GANs - Step 1
- GANs - Step 2
- GANs - Step 3
- GANs - Step 4
- GANs - Step 5
- GANs - Step 6
- GANs - Step 7
- GANs - Step 8
- GANs - Step 9
- GANs - Step 10
- GANs - Step 11
- GANs - Step 12
- Image Creation with GANs
- Special Thanks to Alexis Jacq
- THANK YOU bonus video
Annex 1: Artificial Neural Networks
- What is Deep Learning?
- Plan of Attack
- The Neuron
- The Activation Function
- How do Neural Networks work?
- How do Neural Networks learn?
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
Annex 2: Convolutional Neural Networks
- Plan of Attack
- What are convolutional neural networks?
- Step 1 - Convolution Operation
- Step 1(b) - ReLU Layer
- Step 2 - Pooling
- Step 3 - Flattening
- Step 4 - Full Connection
- Summary
- Softmax & Cross-Entropy
Bonus Lectures
- ***YOUR SPECIAL BONUS***
Instructors
Mr Hadelin de Ponteves
Co-founder
Udemy
Mr Kirill Eremenko
Data Scientist
Udemy
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