ØMagnet

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

Torrent Hash :
5fdcd2fd950ec644bcb4451f296d6509a299f61c
Content Size :
9.75 GB
Date :
2020-04-13
Short Magnet :
Short Magnet
https://0mag.me/!AqWjJw QR code
Files ( 302 )size
3/1.2 DeepLearningCV2.tar.gz.gz643.18 MB
18/3.1 age-gender-estimation.tar.gz.gz552.2 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz549.53 MB
15/4.1 monkey_breed.zip.zip546.67 MB
25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz520.7 MB
12/4.1 fruits-360.tar.gz.gz376.04 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4260.78 MB
18/2. Build an Emotion, Facial Expression Detector.mp4201.96 MB
19/5. Finding the Nuclei in Divergent Images.mp4171.06 MB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4159.11 MB
18/2.1 fer2013.zip.zip143.26 MB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4135.87 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4135.31 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4124.75 MB
25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz120.75 MB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4118.38 MB
24/5.1 GenerativeNetworks.tar.gz.gz116.98 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4106.17 MB
22/3. Experiment with YOLO on still images, webcam and videos.mp4104.48 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4103.82 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4102.35 MB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp499.84 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp499.6 MB
24/4. Implementing GANs in Keras.mp496.35 MB
11/2. Understanding the Confusion Matrix.mp493.02 MB
12/4. Build a Fruit Classifier.mp492.94 MB
1. Introduction/1. Course Introduction.mp490.2 MB
19/5.1 U_NET.zip.zip89.95 MB
9/4. Filter Visualizations.mp489.48 MB
24/2. Introduction To GANs.mp485.34 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp483.97 MB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp483.55 MB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp482.05 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp481.96 MB
9/3. Saliency Maps & Class Activation Maps.mp480.78 MB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp477.4 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp474.9 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp474.35 MB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp474.21 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp473.69 MB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp472.62 MB
4/2. Experiment with a Handwriting Classifier.mp467.3 MB
12/2. Types Optimizers and Adaptive Learning Rate Methods.mp467.23 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip65.68 MB
9/2. Saliency Maps & Class Activation Maps.mp464.15 MB
6. Neural Networks Explained in Detail/4. Forward Propagation.mp463.34 MB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp460.12 MB
6. Neural Networks Explained in Detail/5. Activation Functions.mp459.62 MB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp458.79 MB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp458.41 MB

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