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