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Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) 2025-1

0 students Last updated Feb 2025

About the course

Course content

Sections: 18

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Activities: 0

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Resources: 115

1 Introduction
2 Outline and Perspective
3 How to Succeed in this Course

1 Where to get the code notebooks and data
2 Intro to Google Colab how to use a GPU or TPU for free
3 Uploading your own data to Google Colab
4 Where can I learn about Numpy Scipy Matplotlib Pandas and Scikit Learn
5 Temporary 403 Errors

10 Saving and Loading a Model
11 Suggestion Box
1 What is Machine Learning
2 Code Preparation Classification Theory
3 Beginners Code Preamble
4 Classification Notebook
5 Code Preparation Regression Theory
6 Regression Notebook
7 The Neuron
8 How does a model learn
9 Making Predictions

10 ANN for Regression
1 Artificial Neural Networks Section Introduction
2 Forward Propagation
3 The Geometrical Picture
4 Activation Functions
5 Multiclass Classification
6 How to Represent Images
7 Color Mixing Clarification
8 Code Preparation ANN
9 ANN for Image Classification

10 Batch Normalization
11 Improving CIFAR 10 Results
1 What is Convolution part 1
2 What is Convolution part 2
3 What is Convolution part 3
4 Convolution on Color Images
5 CNN Architecture
6 CNN Code Preparation
7 CNN for Fashion MNIST
8 CNN for CIFAR 10
9 Data Augmentation

1 VGG Section Intro
2 Whats so special about VGG
3 Transfer Learning
4 Relationship to Greedy Layer Wise Pretraining
5 2 Approaches to Transfer Learning
6 Transfer Learning Code pt 1
7 Transfer Learning Code pt 2
8 VGG Section Summary

1 ResNet Section Intro
2 ResNet Architecture
3 Transfer Learning with ResNet in Code
4 Blood Cell Images Dataset
5 How to Build ResNet in Code
6 1x1 Convolutions
7 Optional Inception
8 Different sized images using the same network
9 ResNet Section Summary

10 Optional Intersection over Union Non max Suppression
11 SSD Section Summary
1 SSD Section Intro
2 Object Localization
3 What is Object Detection
4 How would you find an object in an image
5 The Problem of Scale
6 The Problem of Shape
7 SSD Tensorflow Object Detection API pt 1
8 SSD Tensorflow Object Detection API pt 2
9 SSD for Video Object Detection

1 Style Transfer Section Intro
2 Style Transfer Theory
3 Optimizing the Loss
4 Code pt 1
5 Code pt 2
6 Code pt 3
7 Style Transfer Section Summary

1 Class Activation Maps Theory
2 Class Activation Maps Code

1 GAN Theory
2 GAN Code

10 Localization Code Outline pt 5
11 Localization Code pt 5
12 Localization Code Outline pt 6
13 Localization Code pt 6
14 Localization Code Outline pt 7
15 Localization Code pt 7
1 Localization Introduction and Outline
2 Localization Code Outline pt 1
3 Localization Code pt 1
4 Localization Code Outline pt 2
5 Localization Code pt 2
6 Localization Code Outline pt 3
7 Localization Code pt 3
8 Localization Code Outline pt 4
9 Localization Code pt 4

1 Review Tensorflow Basics
2 Review Tensorflow Neural Network in Code
3 Review Keras Discussion
4 Review Keras Neural Network in Code
5 Review Keras Functional API
6 Review How to easily convert Keras into Tensorflow 20 code

1 What to Learn Next

1 Pre Installation Check
2 Anaconda Environment Setup
3 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow

1 How to Code by Yourself part 1
2 How to Code by Yourself part 2
3 Proof that using Jupyter Notebook is the same as not using it
4 Python 2 vs Python 3
5 How to use Github Extra Coding Tips Optional

1 How to Succeed in this Course Long Version
2 Is this for Beginners or Experts Academic or Practical Fast or slow paced
3 Machine Learning and AI Prerequisite Roadmap pt 1
4 Machine Learning and AI Prerequisite Roadmap pt 2

1 What is the Appendix
2 BONUS

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Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) 2025-1

Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) 2025-1

Course modified date: 6 Feb 2025

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