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Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) 2025-1
Course modified date: 6 Feb 2025
- Enrolled students: 1
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Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) 2025-1
Course content
Sections:
18
•
Activities:
0
•
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