Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) (5.2025)

Creation Time	July 23, 2025, 10:39 p.m.
Last Access Time	Aug. 19, 2025, 6:16 p.m.
File Size	3.7 GB
Keywords	GANs - Deep Udemy 2025 Computer 5 Vision Learning SSD Advanced More
Total Requests	72
Total Files	234
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06. VGG and Transfer Learning/6. Transfer Learning Code (pt 1).mp4 150.2 MB
03. Machine Learning Basics Review/6. Regression Notebook.mp4 148.9 MB
06. VGG and Transfer Learning/7. Transfer Learning Code (pt 2).mp4 145.4 MB
07. ResNet (and Inception)/3. Transfer Learning with ResNet in Code.mp4 136.1 MB
05. Convolutional Neural Networks (CNN) Review/11. Improving CIFAR-10 Results.mp4 120.2 MB
15. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 116.9 MB
03. Machine Learning Basics Review/4. Classification Notebook.mp4 111.1 MB
15. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 109.0 MB
10. Class Activation Maps/2. Class Activation Maps (Code).mp4 91.3 MB
08. Object Detection (SSD RetinaNet)/9. SSD for Video Object Detection.mp4 90.7 MB
08. Object Detection (SSD RetinaNet)/8. SSD Tensorflow Object Detection API (pt 2).mp4 87.4 MB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 81.2 MB
02. Google Colab & Getting Setup/3. Uploading your own data to Google Colab.mp4 78.2 MB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 75.7 MB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 64.3 MB
07. ResNet (and Inception)/5. How to Build ResNet in Code.mp4 59.9 MB
02. Google Colab & Getting Setup/2. Intro to Google Colab, how to use a GPU or TPU for free.mp4 57.2 MB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 56.1 MB
02. Google Colab & Getting Setup/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 55.6 MB
08. Object Detection (SSD RetinaNet)/7. SSD Tensorflow Object Detection API (pt 1).mp4 54.2 MB
04. Artificial Neural Networks (ANN) Review/10. ANN for Regression.mp4 53.9 MB
09. Neural Style Transfer/5. Code pt 2.mp4 48.1 MB
12. Object Localization Project/3. Localization Code (pt 1).mp4 47.5 MB
09. Neural Style Transfer/4. Code pt 1.mp4 47.0 MB
11. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 45.4 MB
11. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 45.4 MB
12. Object Localization Project/11. Localization Code (pt 5).mp4 44.7 MB
12. Object Localization Project/5. Localization Code (pt 2).mp4 44.3 MB
12. Object Localization Project/15. Localization Code (pt 7).mp4 43.0 MB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 42.5 MB
12. Object Localization Project/13. Localization Code (pt 6).mp4 40.6 MB
05. Convolutional Neural Networks (CNN) Review/5. CNN Architecture.mp4 40.2 MB
04. Artificial Neural Networks (ANN) Review/4. Activation Functions.mp4 39.2 MB
03. Machine Learning Basics Review/8. How does a model learn.mp4 37.7 MB
05. Convolutional Neural Networks (CNN) Review/6. CNN Code Preparation.mp4 36.4 MB
03. Machine Learning Basics Review/1. What is Machine Learning.mp4 34.5 MB
05. Convolutional Neural Networks (CNN) Review/1. What is Convolution (part 1).mp4 32.0 MB
05. Convolutional Neural Networks (CNN) Review/4. Convolution on Color Images.mp4 30.4 MB
13. Keras and Tensorflow 2 Basics Review/4. (Review) Keras Neural Network in Code.mp4 30.2 MB
12. Object Localization Project/10. Localization Code Outline (pt 5).mp4 30.2 MB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to use Github & Extra Coding Tips (Optional).mp4 29.7 MB
04. Artificial Neural Networks (ANN) Review/9. ANN for Image Classification.mp4 29.2 MB
13. Keras and Tensorflow 2 Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 28.5 MB
03. Machine Learning Basics Review/2. Code Preparation (Classification Theory).mp4 28.3 MB
09. Neural Style Transfer/2. Style Transfer Theory.mp4 27.2 MB
04. Artificial Neural Networks (ANN) Review/6. How to Represent Images.mp4 26.9 MB
02. Google Colab & Getting Setup/1. Where to get the code, notebooks, and data.mp4 26.9 MB
09. Neural Style Transfer/6. Code pt 3.mp4 26.7 MB
03. Machine Learning Basics Review/10. Saving and Loading a Model.mp4 25.1 MB
12. Object Localization Project/1. Localization Introduction and Outline.mp4 24.7 MB
05. Convolutional Neural Networks (CNN) Review/7. CNN for Fashion MNIST.mp4 24.6 MB
10. Class Activation Maps/1. Class Activation Maps (Theory).mp4 23.7 MB
13. Keras and Tensorflow 2 Basics Review/1. (Review) Tensorflow Basics.mp4 23.3 MB
12. Object Localization Project/7. Localization Code (pt 3).mp4 22.3 MB
04. Artificial Neural Networks (ANN) Review/8. Code Preparation (ANN).mp4 22.2 MB
07. ResNet (and Inception)/2. ResNet Architecture.mp4 21.9 MB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 20.9 MB
02. Google Colab & Getting Setup/5. Temporary 403 Errors.mp4 20.9 MB
04. Artificial Neural Networks (ANN) Review/3. The Geometrical Picture.mp4 20.8 MB
04. Artificial Neural Networks (ANN) Review/5. Multiclass Classification.mp4 20.4 MB
18. Appendix FAQ Finale/2. BONUS.mp4 19.6 MB
03. Machine Learning Basics Review/7. The Neuron.mp4 19.4 MB
04. Artificial Neural Networks (ANN) Review/2. Forward Propagation.mp4 19.2 MB
03. Machine Learning Basics Review/11. Suggestion Box.mp4 18.9 MB
12. Object Localization Project/2. Localization Code Outline (pt 1).mp4 18.8 MB
09. Neural Style Transfer/3. Optimizing the Loss.mp4 18.7 MB
14. Course Conclusion/1. What to Learn Next.mp4 18.3 MB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 17.9 MB
08. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.mp4 17.6 MB
13. Keras and Tensorflow 2 Basics Review/5. (Review) Keras Functional API.mp4 17.1 MB
06. VGG and Transfer Learning/3. Transfer Learning.mp4 17.1 MB
03. Machine Learning Basics Review/9. Making Predictions.mp4 16.7 MB
05. Convolutional Neural Networks (CNN) Review/8. CNN for CIFAR-10.mp4 16.5 MB
01. Welcome/3. How to Succeed in this Course.mp4 16.2 MB
12. Object Localization Project/12. Localization Code Outline (pt 6).mp4 15.6 MB
05. Convolutional Neural Networks (CNN) Review/9. Data Augmentation.mp4 15.2 MB
03. Machine Learning Basics Review/5. Code Preparation (Regression Theory).mp4 12.7 MB
08. Object Detection (SSD RetinaNet)/2. Object Localization.mp4 12.1 MB
04. Artificial Neural Networks (ANN) Review/1. Artificial Neural Networks Section Introduction.mp4 11.9 MB
06. VGG and Transfer Learning/2. What's so special about VGG.mp4 11.7 MB
05. Convolutional Neural Networks (CNN) Review/3. What is Convolution (part 3).mp4 11.3 MB
08. Object Detection (SSD RetinaNet)/10. Optional Intersection over Union & Non-max Suppression.mp4 11.3 MB
13. Keras and Tensorflow 2 Basics Review/3. (Review) Keras Discussion.mp4 11.1 MB
06. VGG and Transfer Learning/5. 2 Approaches to Transfer Learning.mp4 11.0 MB
07. ResNet (and Inception)/7. Optional Inception.mp4 10.7 MB
08. Object Detection (SSD RetinaNet)/6. The Problem of Shape.mp4 10.7 MB
08. Object Detection (SSD RetinaNet)/5. The Problem of Scale.mp4 10.5 MB
02. Google Colab & Getting Setup/codes.rar 10.2 MB
03. Machine Learning Basics Review/3. Beginner's Code Preamble.mp4 10.0 MB
05. Convolutional Neural Networks (CNN) Review/2. What is Convolution (part 2).mp4 9.7 MB
12. Object Localization Project/9. Localization Code (pt 4).mp4 9.5 MB
05. Convolutional Neural Networks (CNN) Review/10. Batch Normalization.mp4 9.0 MB
15. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4 8.9 MB
12. Object Localization Project/14. Localization Code Outline (pt 7).mp4 8.7 MB
07. ResNet (and Inception)/8. Different sized images using the same network.mp4 8.2 MB
01. Welcome/2. Outline and Perspective.mp4 8.0 MB
12. Object Localization Project/4. Localization Code Outline (pt 2).mp4 7.9 MB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 7.6 MB
01. Welcome/1. Introduction.mp4 7.3 MB
06. VGG and Transfer Learning/1. VGG Section Intro.mp4 7.0 MB
07. ResNet (and Inception)/4. Blood Cell Images Dataset.mp4 6.5 MB
07. ResNet (and Inception)/1. ResNet Section Intro.mp4 6.4 MB
08. Object Detection (SSD RetinaNet)/11. SSD Section Summary.mp4 6.3 MB
09. Neural Style Transfer/7. Style Transfer Section Summary.mp4 6.2 MB
18. Appendix FAQ Finale/1. What is the Appendix.mp4 6.1 MB
07. ResNet (and Inception)/6. 1x1 Convolutions.mp4 5.8 MB
08. Object Detection (SSD RetinaNet)/1. SSD Section Intro.mp4 5.7 MB
12. Object Localization Project/8. Localization Code Outline (pt 4).mp4 5.7 MB
08. Object Detection (SSD RetinaNet)/3. What is Object Detection.mp4 5.2 MB
12. Object Localization Project/6. Localization Code Outline (pt 3).mp4 5.1 MB
07. ResNet (and Inception)/9. ResNet Section Summary.mp4 4.6 MB
13. Keras and Tensorflow 2 Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 4.1 MB
06. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 3.3 MB
06. VGG and Transfer Learning/8. VGG Section Summary.mp4 3.2 MB
09. Neural Style Transfer/1. Style Transfer Section Intro.mp4 2.9 MB
04. Artificial Neural Networks (ANN) Review/7. Color Mixing Clarification.mp4 1.9 MB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 32.9 KB
03. Machine Learning Basics Review/6. Regression Notebook.vtt 32.7 KB
05. Convolutional Neural Networks (CNN) Review/5. CNN Architecture.vtt 28.8 KB
03. Machine Learning Basics Review/4. Classification Notebook.vtt 26.9 KB
06. VGG and Transfer Learning/7. Transfer Learning Code (pt 2).vtt 25.4 KB
06. VGG and Transfer Learning/6. Transfer Learning Code (pt 1).vtt 25.2 KB
04. Artificial Neural Networks (ANN) Review/4. Activation Functions.vtt 23.4 KB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).vtt 23.4 KB
07. ResNet (and Inception)/3. Transfer Learning with ResNet in Code.vtt 22.1 KB
05. Convolutional Neural Networks (CNN) Review/4. Convolution on Color Images.vtt 21.3 KB
03. Machine Learning Basics Review/2. Code Preparation (Classification Theory).vtt 21.2 KB
11. GANs (Generative Adversarial Networks)/1. GAN Theory.vtt 21.0 KB
05. Convolutional Neural Networks (CNN) Review/1. What is Convolution (part 1).vtt 20.9 KB
05. Convolutional Neural Networks (CNN) Review/6. CNN Code Preparation.vtt 20.4 KB
15. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt 20.2 KB
05. Convolutional Neural Networks (CNN) Review/11. Improving CIFAR-10 Results.vtt 19.8 KB
03. Machine Learning Basics Review/1. What is Machine Learning.vtt 19.6 KB
12. Object Localization Project/1. Localization Introduction and Outline.vtt 18.7 KB
07. ResNet (and Inception)/2. ResNet Architecture.vtt 17.2 KB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt 16.9 KB
04. Artificial Neural Networks (ANN) Review/8. Code Preparation (ANN).vtt 16.9 KB
04. Artificial Neural Networks (ANN) Review/6. How to Represent Images.vtt 16.5 KB
08. Object Detection (SSD RetinaNet)/7. SSD Tensorflow Object Detection API (pt 1).vtt 16.2 KB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to use Github & Extra Coding Tips (Optional).vtt 16.2 KB
12. Object Localization Project/15. Localization Code (pt 7).vtt 16.1 KB
11. GANs (Generative Adversarial Networks)/2. GAN Code.vtt 15.8 KB
17. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt 15.3 KB
09. Neural Style Transfer/2. Style Transfer Theory.vtt 15.2 KB
08. Object Detection (SSD RetinaNet)/8. SSD Tensorflow Object Detection API (pt 2).vtt 15.0 KB
12. Object Localization Project/2. Localization Code Outline (pt 1).vtt 15.0 KB
03. Machine Learning Basics Review/8. How does a model learn.vtt 14.9 KB
02. Google Colab & Getting Setup/2. Intro to Google Colab, how to use a GPU or TPU for free.vtt 14.7 KB
02. Google Colab & Getting Setup/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.vtt 14.6 KB
12. Object Localization Project/5. Localization Code (pt 2).vtt 14.4 KB
15. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14.2 KB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.vtt 14.1 KB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).vtt 13.7 KB
04. Artificial Neural Networks (ANN) Review/10. ANN for Regression.vtt 13.4 KB
08. Object Detection (SSD RetinaNet)/9. SSD for Video Object Detection.vtt 13.3 KB
03. Machine Learning Basics Review/7. The Neuron.vtt 13.1 KB
04. Artificial Neural Networks (ANN) Review/2. Forward Propagation.vtt 12.6 KB
12. Object Localization Project/3. Localization Code (pt 1).vtt 12.4 KB
02. Google Colab & Getting Setup/3. Uploading your own data to Google Colab.vtt 12.3 KB
04. Artificial Neural Networks (ANN) Review/3. The Geometrical Picture.vtt 12.1 KB
05. Convolutional Neural Networks (CNN) Review/9. Data Augmentation.vtt 12.1 KB
04. Artificial Neural Networks (ANN) Review/5. Multiclass Classification.vtt 11.8 KB
07. ResNet (and Inception)/5. How to Build ResNet in Code.vtt 11.8 KB
12. Object Localization Project/10. Localization Code Outline (pt 5).vtt 11.3 KB
06. VGG and Transfer Learning/3. Transfer Learning.vtt 11.1 KB
08. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.vtt 10.8 KB
12. Object Localization Project/11. Localization Code (pt 5).vtt 10.8 KB
09. Neural Style Transfer/3. Optimizing the Loss.vtt 10.8 KB
04. Artificial Neural Networks (ANN) Review/9. ANN for Image Classification.vtt 10.2 KB
10. Class Activation Maps/2. Class Activation Maps (Code).vtt 10.0 KB
13. Keras and Tensorflow 2 Basics Review/3. (Review) Keras Discussion.vtt 10.0 KB
12. Object Localization Project/12. Localization Code Outline (pt 6).vtt 9.8 KB
12. Object Localization Project/13. Localization Code (pt 6).vtt 9.8 KB
09. Neural Style Transfer/4. Code pt 1.vtt 9.7 KB
06. VGG and Transfer Learning/2. What's so special about VGG.vtt 9.6 KB
09. Neural Style Transfer/5. Code pt 2.vtt 9.4 KB
01. Welcome/2. Outline and Perspective.vtt 9.4 KB
07. ResNet (and Inception)/7. Optional Inception.vtt 9.3 KB
03. Machine Learning Basics Review/5. Code Preparation (Regression Theory).vtt 9.3 KB
10. Class Activation Maps/1. Class Activation Maps (Theory).vtt 9.3 KB
08. Object Detection (SSD RetinaNet)/2. Object Localization.vtt 8.7 KB
04. Artificial Neural Networks (ANN) Review/1. Artificial Neural Networks Section Introduction.vtt 8.4 KB
03. Machine Learning Basics Review/9. Making Predictions.vtt 8.3 KB
05. Convolutional Neural Networks (CNN) Review/7. CNN for Fashion MNIST.vtt 8.3 KB
05. Convolutional Neural Networks (CNN) Review/3. What is Convolution (part 3).vtt 8.1 KB
13. Keras and Tensorflow 2 Basics Review/4. (Review) Keras Neural Network in Code.vtt 7.7 KB
02. Google Colab & Getting Setup/Advanced Computer Vision - Data Links.docx 7.6 KB
05. Convolutional Neural Networks (CNN) Review/2. What is Convolution (part 2).vtt 7.4 KB
03. Machine Learning Basics Review/3. Beginner's Code Preamble.vtt 7.2 KB
05. Convolutional Neural Networks (CNN) Review/10. Batch Normalization.vtt 7.1 KB
18. Appendix FAQ Finale/2. BONUS.vtt 7.1 KB
12. Object Localization Project/14. Localization Code Outline (pt 7).vtt 6.9 KB
08. Object Detection (SSD RetinaNet)/10. Optional Intersection over Union & Non-max Suppression.vtt 6.7 KB
12. Object Localization Project/4. Localization Code Outline (pt 2).vtt 6.6 KB
08. Object Detection (SSD RetinaNet)/1. SSD Section Intro.vtt 6.6 KB
15. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt 6.6 KB
02. Google Colab & Getting Setup/1. Where to get the code, notebooks, and data.vtt 6.4 KB
16. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.vtt 6.2 KB
13. Keras and Tensorflow 2 Basics Review/1. (Review) Tensorflow Basics.vtt 5.9 KB
13. Keras and Tensorflow 2 Basics Review/2. (Review) Tensorflow Neural Network in Code.vtt 5.9 KB
06. VGG and Transfer Learning/5. 2 Approaches to Transfer Learning.vtt 5.7 KB
05. Convolutional Neural Networks (CNN) Review/8. CNN for CIFAR-10.vtt 5.7 KB
07. ResNet (and Inception)/8. Different sized images using the same network.vtt 5.5 KB
12. Object Localization Project/7. Localization Code (pt 3).vtt 5.4 KB
13. Keras and Tensorflow 2 Basics Review/5. (Review) Keras Functional API.vtt 5.3 KB
07. ResNet (and Inception)/6. 1x1 Convolutions.vtt 5.0 KB
03. Machine Learning Basics Review/10. Saving and Loading a Model.vtt 5.0 KB
12. Object Localization Project/8. Localization Code Outline (pt 4).vtt 4.9 KB
03. Machine Learning Basics Review/11. Suggestion Box.vtt 4.8 KB
08. Object Detection (SSD RetinaNet)/6. The Problem of Shape.vtt 4.8 KB
08. Object Detection (SSD RetinaNet)/5. The Problem of Scale.vtt 4.8 KB
09. Neural Style Transfer/6. Code pt 3.vtt 4.6 KB
01. Welcome/3. How to Succeed in this Course.vtt 4.5 KB
12. Object Localization Project/6. Localization Code Outline (pt 3).vtt 4.5 KB
14. Course Conclusion/1. What to Learn Next.vtt 4.4 KB
09. Neural Style Transfer/1. Style Transfer Section Intro.vtt 4.0 KB
07. ResNet (and Inception)/4. Blood Cell Images Dataset.vtt 4.0 KB
07. ResNet (and Inception)/1. ResNet Section Intro.vtt 4.0 KB
06. VGG and Transfer Learning/1. VGG Section Intro.vtt 3.9 KB
18. Appendix FAQ Finale/1. What is the Appendix.vtt 3.9 KB
08. Object Detection (SSD RetinaNet)/11. SSD Section Summary.vtt 3.8 KB
08. Object Detection (SSD RetinaNet)/3. What is Object Detection.vtt 3.7 KB
02. Google Colab & Getting Setup/5. Temporary 403 Errors.vtt 3.7 KB
01. Welcome/1. Introduction.vtt 3.5 KB
09. Neural Style Transfer/7. Style Transfer Section Summary.vtt 3.2 KB
07. ResNet (and Inception)/9. ResNet Section Summary.vtt 3.1 KB
06. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.vtt 2.8 KB
06. VGG and Transfer Learning/8. VGG Section Summary.vtt 2.3 KB
12. Object Localization Project/9. Localization Code (pt 4).vtt 2.2 KB
13. Keras and Tensorflow 2 Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt 2.2 KB
04. Artificial Neural Networks (ANN) Review/7. Color Mixing Clarification.vtt 1.2 KB
02. Google Colab & Getting Setup/1. Data-Links.txt 96 bytes
02. Google Colab & Getting Setup/1. Github-Link.txt 82 bytes
02. Google Colab & Getting Setup/1. Code-Link.txt 64 bytes

Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) (5.2025)

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