FreeCourseSite com Udemy Deep Learning Computer Vision CNN OpenCV YOLO SSD GANs

/1. Introduction/

1. Course Introduction.mp4

1. Course Introduction.vtt

/10. Data Augmentation Build a Cats vs Dogs Classifier/

1. Data Augmentation Chapter Overview.mp4

1. Data Augmentation Chapter Overview.vtt

2. Splitting Data into Test and Training Datasets.mp4

2. Splitting Data into Test and Training Datasets.vtt

2.1 datasets.zip.zip

3. Train a Cats vs. Dogs Classifier.mp4

3. Train a Cats vs. Dogs Classifier.vtt

4. Boosting Accuracy with Data Augmentation.mp4

4. Boosting Accuracy with Data Augmentation.vtt

5. Types of Data Augmentation.mp4

5. Types of Data Augmentation.vtt

/11. Confusion Matrix, Classification Report & Viewing Misclassifications/

1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4

1. Introduction to the Confusion Matrix & Viewing Misclassifications.vtt

2. Understanding the Confusion Matrix.mp4

2. Understanding the Confusion Matrix.vtt

3. Finding and Viewing Misclassified Data.mp4

3. Finding and Viewing Misclassified Data.vtt

/12. Types of Optimizers, Learning Rates & Callbacks Build a Fruit Classifier/

1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4

1. Introduction to the types of Optimizers, Learning Rates & Callbacks.vtt

2. Types Optimizers and Adaptive Learning Rate Methods.mp4

2. Types Optimizers and Adaptive Learning Rate Methods.vtt

3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4

3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.vtt

4. Build a Fruit Classifier.mp4

4. Build a Fruit Classifier.vtt

4.1 fruits-360.tar.gz.gz

/13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/

1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4

1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.vtt

2. Build LeNet and test on MNIST.mp4

2. Build LeNet and test on MNIST.vtt

3. Build AlexNet and test on CIFAR10.mp4

3. Build AlexNet and test on CIFAR10.vtt

4. Batch Normalization.mp4

4. Batch Normalization.vtt

5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4

5. Build a Clothing & Apparel Classifier (Fashion MNIST).vtt

5.1 fashion_mnist.tar.gz.gz

/14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4

2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.vtt

3. Understanding VGG16 and VGG19.mp4

3. Understanding VGG16 and VGG19.vtt

4. Understanding ResNet50.mp4

4. Understanding ResNet50.vtt

5. Understanding InceptionV3.mp4

5. Understanding InceptionV3.vtt

/15. Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. What is Transfer Learning and Fine Tuning.mp4

2. What is Transfer Learning and Fine Tuning.vtt

3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4

3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.vtt

3.1 17_flowers.tar.gz.gz

4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4

4. Build a Flower Classifier with VGG16 using Transfer Learning.vtt

4.1 monkey_breed.zip.zip

/16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Introducing LittleVGG.mp4

2. Introducing LittleVGG.vtt

3. Simpsons Character Recognition using LittleVGG.mp4

3. Simpsons Character Recognition using LittleVGG.vtt

3.1 simpsons.tar.gz.gz

/17. Advanced Activation Functions and Initializations/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4

2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.vtt

3. Advanced Initializations.mp4

3. Advanced Initializations.vtt

/18. Deep Surveillance Build a Facial Emotion, Age & Gender Recognition System/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Build an Emotion, Facial Expression Detector.mp4

2. Build an Emotion, Facial Expression Detector.vtt

2.1 fer2013.zip.zip

3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4

3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.vtt

3.1 age-gender-estimation.tar.gz.gz

/19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/

1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4

1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.vtt

2. What is Segmentation And Applications in Medical Imaging.mp4

2. What is Segmentation And Applications in Medical Imaging.vtt

3. U-Net Image Segmentation with CNNs.mp4

3. U-Net Image Segmentation with CNNs.vtt

4. The Intersection over Union (IoU) Metric.mp4

4. The Intersection over Union (IoU) Metric.vtt

5. Finding the Nuclei in Divergent Images.mp4

5. Finding the Nuclei in Divergent Images.vtt

5.1 U_NET.zip.zip

/2. Introduction to Computer Vision & Deep Learning/

1. Introduction to Computer Vision & Deep Learning.mp4

1. Introduction to Computer Vision & Deep Learning.vtt

2. What is Computer Vision and What Makes it Hard.mp4

2. What is Computer Vision and What Makes it Hard.vtt

3. What are Images.mp4

3. What are Images.vtt

4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4

4. Intro to OpenCV, OpenVINO™ & their Limitations.vtt

/20. Principles of Object Detection/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Object Detection Introduction - Sliding Windows with HOGs.mp4

2. Object Detection Introduction - Sliding Windows with HOGs.vtt

3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4

3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.vtt

4. Single Shot Detectors (SSDs).mp4

4. Single Shot Detectors (SSDs).vtt

5. YOLO to YOLOv3.mp4

5. YOLO to YOLOv3.vtt

/21. TensorFlow Object Detection API/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. TFOD API Install and Setup.mp4

2. TFOD API Install and Setup.vtt

2.1 Download the code (for those not using the Virtual Machine).html

3. Experiment with a ResNet SSD on images, webcam and videos.mp4

3. Experiment with a ResNet SSD on images, webcam and videos.vtt

4. How to Train a TFOD Model.mp4

4. How to Train a TFOD Model.vtt

/22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Setting up and install Yolo DarkNet and DarkFlow.mp4

2. Setting up and install Yolo DarkNet and DarkFlow.vtt

2.1 Download the YOLO files (if not using the VM).html

3. Experiment with YOLO on still images, webcam and videos.mp4

3. Experiment with YOLO on still images, webcam and videos.vtt

4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4

4. Build your own YOLO Object Detector - Detecting London Underground Signs.vtt

/23. DeepDream & Neural Style Transfers Make AI Generated Art/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. DeepDream – How AI Generated Art All Started.mp4

2. DeepDream – How AI Generated Art All Started.vtt

3. Neural Style Transfer.mp4

3. Neural Style Transfer.vtt

/24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/

1. Generative Adverserial Neural Networks Chapter Overview.mp4

1. Generative Adverserial Neural Networks Chapter Overview.vtt

2. Introduction To GANs.mp4

2. Introduction To GANs.vtt

3. Mathematics of GANs.mp4

3. Mathematics of GANs.vtt

4. Implementing GANs in Keras.mp4

4. Implementing GANs in Keras.vtt

5. Face Aging GAN.mp4

5. Face Aging GAN.vtt

5.1 GenerativeNetworks.tar.gz.gz

/25. Face Recognition with VGGFace/

1. Basic Face Recognition using LittleVGG CNN.html

1.1 25. Face Recognition All Notebooks.tar.gz.gz

2. Face Matching with VGGFace.html

2.1 vgg_face_weights.h5.tar.gz.gz

3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html

/26. The Computer Vision World/

1. Chapter Introduction.mp4

1. Chapter Introduction.vtt

2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4

2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.vtt

3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4

3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.vtt

4. Popular Computer Vision Conferences & Finding Datasets.mp4

4. Popular Computer Vision Conferences & Finding Datasets.vtt

5. Building a Deep Learning Machine vs. Cloud GPUs.mp4

5. Building a Deep Learning Machine vs. Cloud GPUs.vtt

/27. BONUS - Build a Credit Card Number Reader/

1. Step 1 - Creating a Credit Card Number Dataset.html

1.1 Credit-Card Number Identification.zip.zip

2. Step 2 - Training Our Model.html

3. Step 3 - Extracting A Credit Card from the Background.html

4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html

/28. BONUS - Use Cloud GPUs on PaperSpace/

1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html

2. Train a AlexNet on PaperSpace.html

2.1 AlexNet CIFAR10.zip.zip

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/

1. Install and Run Flask.html

1.1 CVApiWebAPp.tar.gz.gz

2. Running Your Computer Vision Web App on Flask Locally.html

3. Running Your Computer Vision API.html

4. Setting Up An AWS Account.html

5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html

6. Changing your EC2 Security Group.html

7. Using FileZilla to transfer files to your EC2 Instance.html

8. Running your CV Web App on EC2.html

9. Running your CV API on EC2.html

/3. Setup Your FREE Deep Learning Development Virtual Machine/

1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4

1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).vtt

1.1 Download Your Deep Learning Virtual Machine HERE.html

1.2 Master Deep Learning Computer Vision Slides.pdf.pdf

1.3 DeepLearningCV2.tar.gz.gz

1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html

2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html

3. Optional - Manual Setup of Ubuntu Virtual Machine.html

4. Optional - Setting up a shared drive with your Host OS.html

/4. Handwriting Recognition, Simple Object Classification OpenCV Demo/

1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4

1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.vtt

2. Experiment with a Handwriting Classifier.mp4

2. Experiment with a Handwriting Classifier.vtt

3. Experiment with a Image Classifier.mp4

3. Experiment with a Image Classifier.vtt

4. OpenCV Demo – Live Sketch with Webcam.mp4

4. OpenCV Demo – Live Sketch with Webcam.vtt

/5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/

1. Setup OpenCV.mp4

1. Setup OpenCV.vtt

1.1 MasterOpenCV.tar.gz.gz

10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4

10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt

11. Image Translations - Moving Images Up, Down. Left And Right.mp4

11. Image Translations - Moving Images Up, Down. Left And Right.vtt

12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4

12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt

13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4

13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt

14. Image Pyramids - Another Way of Re-Sizing.mp4

14. Image Pyramids - Another Way of Re-Sizing.vtt

15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4

15. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt

16. Arithmetic Operations - Brightening and Darkening Images.mp4

16. Arithmetic Operations - Brightening and Darkening Images.vtt

17. Bitwise Operations - How Image Masking Works.mp4

17. Bitwise Operations - How Image Masking Works.vtt

18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4

18. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt

19. Sharpening - Reverse Your Images Blurs.mp4

19. Sharpening - Reverse Your Images Blurs.vtt

2. What are Images.mp4

2. What are Images.vtt

20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4

20. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt

21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4

21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt

22. Edge Detection using Image Gradients & Canny Edge Detection.mp4

22. Edge Detection using Image Gradients & Canny Edge Detection.vtt

23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4

23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt

24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4

24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt

25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4

25. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt

26. Sorting Contours - Sort Those Shapes By Size.mp4

26. Sorting Contours - Sort Those Shapes By Size.vtt

27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4

27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt

28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4

28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt

29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4

29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt

3. How are Images Formed.mp4

3. How are Images Formed.vtt

30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4

30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt

31. Circle Detection.html

32. Blob Detection - Detect The Center of Flowers.mp4

32. Blob Detection - Detect The Center of Flowers.vtt

33. Mini Project 3 - Counting Circles and Ellipses.mp4

33. Mini Project 3 - Counting Circles and Ellipses.vtt

34. Object Detection Overview.mp4

34. Object Detection Overview.vtt

35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4

35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt

36. Feature Description Theory - How We Digitally Represent Objects.mp4

36. Feature Description Theory - How We Digitally Represent Objects.vtt

37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4

37. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt

38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4

38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt

39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4

39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt

4. Storing Images on Computers.mp4

4. Storing Images on Computers.vtt

40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4

40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt

41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4

41. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt

5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4

5. Getting Started with OpenCV - A Brief OpenCV Intro.vtt

6. Grayscaling - Converting Color Images To Shades of Gray.mp4

6. Grayscaling - Converting Color Images To Shades of Gray.vtt

7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4

7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt

8. Histogram representation of Images - Visualizing the Components of Images.mp4

8. Histogram representation of Images - Visualizing the Components of Images.vtt

9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4

9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt

/6. Neural Networks Explained in Detail/

1. Neural Networks Chapter Overview.mp4

1. Neural Networks Chapter Overview.vtt

10. Epochs, Iterations and Batch Sizes.mp4

10. Epochs, Iterations and Batch Sizes.vtt

11. Measuring Performance and the Confusion Matrix.mp4

11. Measuring Performance and the Confusion Matrix.vtt

12. Review and Best Practices.mp4

12. Review and Best Practices.vtt

2. Machine Learning Overview.mp4

2. Machine Learning Overview.vtt

3. Neural Networks Explained.mp4

3. Neural Networks Explained.vtt

4. Forward Propagation.mp4

4. Forward Propagation.vtt

5. Activation Functions.mp4

5. Activation Functions.vtt

6. Training Part 1 – Loss Functions.mp4

6. Training Part 1 – Loss Functions.vtt

7. Training Part 2 – Backpropagation and Gradient Descent.mp4

7. Training Part 2 – Backpropagation and Gradient Descent.vtt

8. Backpropagation & Learning Rates – A Worked Example.mp4

8. Backpropagation & Learning Rates – A Worked Example.vtt

9. Regularization, Overfitting, Generalization and Test Datasets.mp4

9. Regularization, Overfitting, Generalization and Test Datasets.vtt

/7. Convolutional Neural Networks (CNNs) Explained in Detail/

1. Convolutional Neural Networks Chapter Overview.mp4

1. Convolutional Neural Networks Chapter Overview.vtt

2. Convolutional Neural Networks Introduction.mp4

2. Convolutional Neural Networks Introduction.vtt

3. Convolutions & Image Features.mp4

3. Convolutions & Image Features.vtt

4. Depth, Stride and Padding.mp4

4. Depth, Stride and Padding.vtt

5. ReLU.mp4

5. ReLU.vtt

6. Pooling.mp4

6. Pooling.vtt

7. The Fully Connected Layer.mp4

7. The Fully Connected Layer.vtt

8. Training CNNs.mp4

8. Training CNNs.vtt

9. Designing Your Own CNN.mp4

9. Designing Your Own CNN.vtt

/8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/

1. Building a CNN in Keras.mp4

1. Building a CNN in Keras.vtt

10. Saving and Loading Your Model.mp4

10. Saving and Loading Your Model.vtt

11. Displaying Your Model Visually.mp4

11. Displaying Your Model Visually.vtt

12. Building a Simple Image Classifier using CIFAR10.mp4

12. Building a Simple Image Classifier using CIFAR10.vtt

2. Introduction to Keras & Tensorflow.mp4

2. Introduction to Keras & Tensorflow.vtt

3. Building a Handwriting Recognition CNN.mp4

3. Building a Handwriting Recognition CNN.vtt

4. Loading Our Data.mp4

4. Loading Our Data.vtt

5. Getting our data in ‘Shape’.mp4

5. Getting our data in ‘Shape’.vtt

6. Hot One Encoding.mp4

6. Hot One Encoding.vtt

7. Building & Compiling Our Model.mp4

7. Building & Compiling Our Model.vtt

8. Training Our Classifier.mp4

8. Training Our Classifier.vtt

9. Plotting Loss and Accuracy Charts.mp4

9. Plotting Loss and Accuracy Charts.vtt

/9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/

1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4

1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.vtt

2. Saliency Maps & Class Activation Maps.mp4

2. Saliency Maps & Class Activation Maps.vtt

3. Saliency Maps & Class Activation Maps.mp4

3. Saliency Maps & Class Activation Maps.vtt

4. Filter Visualizations.mp4

4. Filter Visualizations.vtt

5. Heat Map Visualizations of Class Activations.mp4

5. Heat Map Visualizations of Class Activations.vtt

/

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Total files 355