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[Tutorialsplanet.NET] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
magnet:?xt=urn:btih:5fdcd2fd950ec644bcb4451f296d6509a299f61c&dn=[Tutorialsplanet.NET] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
磁力链接详情
Hash值:
5fdcd2fd950ec644bcb4451f296d6509a299f61c
点击数:
327
文件大小:
5.81 GB
文件数量:
126
创建日期:
2021-6-16 17:50
最后访问:
2024-6-10 20:36
访问标签:
Tutorialsplanet
NET
Udemy
-
Deep
Learning
Computer
Vision™
CNN
OpenCV
YOLO
SSD
&
GANs
文件列表详情
1. Introduction/1. Course Introduction.mp4 90.2 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4 3.93 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 103.82 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4 44.78 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4 43.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4 52.5 MB
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 2.53 MB
11/2. Understanding the Confusion Matrix.mp4 93.02 MB
11/3. Finding and Viewing Misclassified Data.mp4 44.36 MB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 3.43 MB
12/2. Types Optimizers and Adaptive Learning Rate Methods.mp4 67.23 MB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 51.14 MB
12/4. Build a Fruit Classifier.mp4 92.94 MB
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 2.76 MB
13/2. Build LeNet and test on MNIST.mp4 32.12 MB
13/3. Build AlexNet and test on CIFAR10.mp4 42.16 MB
13/4. Batch Normalization.mp4 23.16 MB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 56.33 MB
14/1. Chapter Introduction.mp4 2.9 MB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 82.05 MB
14/3. Understanding VGG16 and VGG19.mp4 14.44 MB
14/4. Understanding ResNet50.mp4 9.76 MB
14/5. Understanding InceptionV3.mp4 14.35 MB
15/1. Chapter Introduction.mp4 2.26 MB
15/2. What is Transfer Learning and Fine Tuning.mp4 44.91 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 135.31 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 81.96 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp4 1.85 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp4 11.46 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp4 99.6 MB
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp4 2.08 MB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 32.33 MB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp4 14.96 MB
18/1. Chapter Introduction.mp4 4.57 MB
18/2. Build an Emotion, Facial Expression Detector.mp4 201.96 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 260.78 MB
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 2.93 MB
19/2. What is Segmentation And Applications in Medical Imaging.mp4 29.64 MB
19/3. U-Net Image Segmentation with CNNs.mp4 30.46 MB
19/4. The Intersection over Union (IoU) Metric.mp4 42.96 MB
19/5. Finding the Nuclei in Divergent Images.mp4 171.06 MB
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp4 3.12 MB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp4 60.12 MB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4 58.79 MB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 41.45 MB
20. Principles of Object Detection/1. Chapter Introduction.mp4 3.4 MB
20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.mp4 51.65 MB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 135.87 MB
20. Principles of Object Detection/4. Single Shot Detectors (SSDs).mp4 12.45 MB
20. Principles of Object Detection/5. YOLO to YOLOv3.mp4 33.08 MB
21. TensorFlow Object Detection API/1. Chapter Introduction.mp4 2.45 MB
21. TensorFlow Object Detection API/2. TFOD API Install and Setup.mp4 47.56 MB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp4 83.55 MB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp4 74.21 MB
22/1. Chapter Introduction.mp4 2.53 MB
22/2. Setting up and install Yolo DarkNet and DarkFlow.mp4 51.66 MB
22/3. Experiment with YOLO on still images, webcam and videos.mp4 104.48 MB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 159.11 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.mp4 1.5 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp4 83.97 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 124.75 MB
24/1. Generative Adverserial Neural Networks Chapter Overview.mp4 4.65 MB
24/2. Introduction To GANs.mp4 85.34 MB
24/3. Mathematics of GANs.mp4 27.16 MB
24/4. Implementing GANs in Keras.mp4 96.35 MB
24/5. Face Aging GAN.mp4 46.76 MB
26. The Computer Vision World/1. Chapter Introduction.mp4 3.2 MB
26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 22.98 MB
26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 8.58 MB
26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.mp4 19.59 MB
26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 28.22 MB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 77.4 MB
4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 7.48 MB
4/2. Experiment with a Handwriting Classifier.mp4 67.3 MB
4/3. Experiment with a Image Classifier.mp4 27.3 MB
4/4. OpenCV Demo – Live Sketch with Webcam.mp4 41.17 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.mp4 13.91 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.mp4 14.22 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.mp4 28.88 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.mp4 17.33 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.mp4 15.99 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 106.17 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.mp4 21.25 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.mp4 32.23 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.mp4 51.89 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.mp4 30.8 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.mp4 42.31 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 74.9 MB
6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.mp4 7.83 MB
6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.mp4 26.07 MB
6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.mp4 52.07 MB
6. Neural Networks Explained in Detail/12. Review and Best Practices.mp4 27.13 MB
6. Neural Networks Explained in Detail/2. Machine Learning Overview.mp4 52.28 MB
6. Neural Networks Explained in Detail/3. Neural Networks Explained.mp4 23.34 MB
6. Neural Networks Explained in Detail/4. Forward Propagation.mp4 63.34 MB
6. Neural Networks Explained in Detail/5. Activation Functions.mp4 59.62 MB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp4 58.41 MB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 72.62 MB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp4 99.84 MB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 118.38 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.mp4 5.14 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.mp4 36.66 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4 102.35 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.mp4 46.52 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.mp4 10.88 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.mp4 28.82 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.mp4 13.84 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.mp4 27.15 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.mp4 24.24 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.mp4 5.62 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.mp4 29.51 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.mp4 25.44 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp4 74.35 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp4 73.69 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.mp4 11.14 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.mp4 52.92 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.mp4 33.8 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.mp4 18.18 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.mp4 36.21 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.mp4 40.78 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.mp4 25.57 MB
9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 8.25 MB
9/2. Saliency Maps & Class Activation Maps.mp4 64.15 MB
9/3. Saliency Maps & Class Activation Maps.mp4 80.78 MB
9/4. Filter Visualizations.mp4 89.48 MB
9/5. Heat Map Visualizations of Class Activations.mp4 34.21 MB
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