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[FreeAllCourse.Com] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

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种子名称： [FreeAllCourse.Com] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
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[FreeAllCourse.Com] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs.torrent
  • 1. Introduction/1. Course Introduction.mp490.2MB
  • 10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp43.93MB
  • 10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4103.82MB
  • 10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp444.78MB
  • 10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp443.5MB
  • 10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp452.5MB
  • 11. Confusion Matrix, Classification Report & Viewing Misclassifications/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp42.53MB
  • 11. Confusion Matrix, Classification Report & Viewing Misclassifications/2. Understanding the Confusion Matrix.mp493.02MB
  • 11. Confusion Matrix, Classification Report & Viewing Misclassifications/3. Finding and Viewing Misclassified Data.mp444.36MB
  • 12. Types of Optimizers, Learning Rates & Callbacks Build a Fruit Classifier/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp43.43MB
  • 12. Types of Optimizers, Learning Rates & Callbacks Build a Fruit Classifier/2. Types Optimizers and Adaptive Learning Rate Methods.mp467.23MB
  • 12. Types of Optimizers, Learning Rates & Callbacks Build a Fruit Classifier/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp451.14MB
  • 12. Types of Optimizers, Learning Rates & Callbacks Build a Fruit Classifier/4. Build a Fruit Classifier.mp492.94MB
  • 13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp42.76MB
  • 13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/2. Build LeNet and test on MNIST.mp432.12MB
  • 13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/3. Build AlexNet and test on CIFAR10.mp442.16MB
  • 13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/4. Batch Normalization.mp423.16MB
  • 13. Batch Normalization & Build LeNet, AlexNet Build a FashionClothes Classifier/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp456.33MB
  • 14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/1. Chapter Introduction.mp42.9MB
  • 14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp482.05MB
  • 14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/3. Understanding VGG16 and VGG19.mp414.44MB
  • 14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/4. Understanding ResNet50.mp49.76MB
  • 14. ImageNet in Keras (VGG1619, InceptionV3, ResNet50) - Advanced Image Classiers/5. Understanding InceptionV3.mp414.35MB
  • 15. Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier/1. Chapter Introduction.mp42.26MB
  • 15. Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier/2. What is Transfer Learning and Fine Tuning.mp444.91MB
  • 15. Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4135.31MB
  • 15. Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp481.96MB
  • 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp41.85MB
  • 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp411.46MB
  • 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp499.6MB
  • 17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp42.08MB
  • 17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp432.33MB
  • 17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp414.96MB
  • 18. Deep Surveillance Build a Facial Emotion, Age & Gender Recognition System/1. Chapter Introduction.mp44.57MB
  • 18. Deep Surveillance Build a Facial Emotion, Age & Gender Recognition System/2. Build an Emotion, Facial Expression Detector.mp4201.96MB
  • 18. Deep Surveillance Build a Facial Emotion, Age & Gender Recognition System/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4260.78MB
  • 19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp42.93MB
  • 19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/2. What is Segmentation And Applications in Medical Imaging.mp429.64MB
  • 19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/3. U-Net Image Segmentation with CNNs.mp430.46MB
  • 19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/4. The Intersection over Union (IoU) Metric.mp442.96MB
  • 19. Image Segmentation & Medical Imaging in U-Net Find Nuclei in Images/5. Finding the Nuclei in Divergent Images.mp4171.06MB
  • 2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp43.12MB
  • 2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp460.12MB
  • 2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp458.79MB
  • 2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp441.45MB
  • 20. Principles of Object Detection/1. Chapter Introduction.mp43.4MB
  • 20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.mp451.65MB
  • 20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4135.87MB
  • 20. Principles of Object Detection/4. Single Shot Detectors (SSDs).mp412.45MB
  • 20. Principles of Object Detection/5. YOLO to YOLOv3.mp433.08MB
  • 21. TensorFlow Object Detection API/1. Chapter Introduction.mp42.45MB
  • 21. TensorFlow Object Detection API/2. TFOD API Install and Setup.mp447.56MB
  • 21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp483.55MB
  • 21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp474.21MB
  • 22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector/1. Chapter Introduction.mp42.53MB
  • 22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector/2. Setting up and install Yolo DarkNet and DarkFlow.mp451.66MB
  • 22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector/3. Experiment with YOLO on still images, webcam and videos.mp4104.48MB
  • 22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4159.11MB
  • 23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.mp41.5MB
  • 23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp483.97MB
  • 23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4124.75MB
  • 24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/1. Generative Adverserial Neural Networks Chapter Overview.mp44.65MB
  • 24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/2. Introduction To GANs.mp485.34MB
  • 24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/3. Mathematics of GANs.mp427.16MB
  • 24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/4. Implementing GANs in Keras.mp496.35MB
  • 24. Generative Adversarial Networks (GANs) Age Faces to 60+ Age with our Age-cGAN/5. Face Aging GAN.mp446.76MB
  • 26. The Computer Vision World/1. Chapter Introduction.mp43.2MB
  • 26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp422.98MB
  • 26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp48.58MB
  • 26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.mp419.59MB
  • 26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.mp428.22MB
  • 3. Setup Your FREE Deep Learning Development Virtual Machine/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp477.4MB
  • 4. Handwriting Recognition, Simple Object Classification OpenCV Demo/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp47.48MB
  • 4. Handwriting Recognition, Simple Object Classification OpenCV Demo/2. Experiment with a Handwriting Classifier.mp467.3MB
  • 4. Handwriting Recognition, Simple Object Classification OpenCV Demo/3. Experiment with a Image Classifier.mp427.3MB
  • 4. Handwriting Recognition, Simple Object Classification OpenCV Demo/4. OpenCV Demo – Live Sketch with Webcam.mp441.17MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.mp413.91MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp411.04MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/11. Image Translations - Moving Images Up, Down. Left And Right.mp418.5MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp423.1MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp436.56MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.mp414.22MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp424.11MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/16. Arithmetic Operations - Brightening and Darkening Images.mp431.08MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.mp428.88MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp470.23MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.mp417.33MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.mp415.99MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp464.83MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp442.03MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/22. Edge Detection using Image Gradients & Canny Edge Detection.mp445.65MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp431.65MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp443.77MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp477.41MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4106.17MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp446.95MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp452.9MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp447.28MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.mp421.25MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp465.68MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.mp432.23MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.mp451.89MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.mp430.8MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp425.89MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/36. Feature Description Theory - How We Digitally Represent Objects.mp435.31MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp452.08MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp481.97MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp443.07MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.mp442.31MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp489.25MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp456.42MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp474.9MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/6. Grayscaling - Converting Color Images To Shades of Gray.mp415MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4106.21MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/8. Histogram representation of Images - Visualizing the Components of Images.mp442.38MB
  • 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp430.97MB
  • 6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.mp47.83MB
  • 6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.mp426.07MB
  • 6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.mp452.07MB
  • 6. Neural Networks Explained in Detail/12. Review and Best Practices.mp427.13MB
  • 6. Neural Networks Explained in Detail/2. Machine Learning Overview.mp452.28MB
  • 6. Neural Networks Explained in Detail/3. Neural Networks Explained.mp423.34MB
  • 6. Neural Networks Explained in Detail/4. Forward Propagation.mp463.34MB
  • 6. Neural Networks Explained in Detail/5. Activation Functions.mp459.62MB
  • 6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp458.41MB
  • 6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp472.62MB
  • 6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp499.84MB
  • 6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4118.38MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.mp45.14MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.mp436.66MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4102.35MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.mp446.52MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.mp410.88MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.mp428.82MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.mp413.84MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.mp427.15MB
  • 7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.mp424.24MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.mp45.62MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.mp429.51MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.mp425.44MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp474.35MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp473.69MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.mp411.14MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.mp452.92MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.mp433.8MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.mp418.18MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.mp436.21MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.mp440.78MB
  • 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.mp425.57MB
  • 9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp48.25MB
  • 9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/2. Saliency Maps & Class Activation Maps.mp464.15MB
  • 9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/3. Saliency Maps & Class Activation Maps.mp480.78MB
  • 9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/4. Filter Visualizations.mp489.48MB
  • 9. What CNNs 'see' - Learn to do Filter Visualizations, Heatmaps and Salience Maps/5. Heat Map Visualizations of Class Activations.mp434.21MB



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