Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes

BY
Udemy

Mode

Online

Fees

₹ 449 3099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 449  ₹3,099
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Introduction

  • Welcome to the Course!
  • BONUS: Learning Paths
  • Some Additional Resources!!
  • This PDF resource will help you a lot!
  • FAQBot!
  • Get the materials
  • Your Shortcut To Becoming A Better Data Scientist!
  • Study Tips For Success

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

Mr Hadelin de Ponteves
Co-founder
Udemy

Mr Kirill Eremenko

Mr Kirill Eremenko
Data Scientist
Udemy

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