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

Creation Time	Aug. 26, 2023, 9:19 a.m.
Last Access Time	Dec. 18, 2024, 10:36 a.m.
File Size	9.8 GB
Keywords	Tutorialsplanet GANs YOLO - Vision™ Deep Udemy OpenCV Computer Learning CNN SSD NET
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3/1.2 DeepLearningCV2.tar.gz.gz 643.2 MB
18/3.1 age-gender-estimation.tar.gz.gz 552.2 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz 549.5 MB
15/4.1 monkey_breed.zip.zip 546.7 MB
25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz 520.7 MB
12/4.1 fruits-360.tar.gz.gz 376.0 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 260.8 MB
18/2. Build an Emotion, Facial Expression Detector.mp4 202.0 MB
19/5. Finding the Nuclei in Divergent Images.mp4 171.1 MB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 159.1 MB
18/2.1 fer2013.zip.zip 143.3 MB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 135.9 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 135.3 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 124.7 MB
25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz 120.7 MB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 118.4 MB
24/5.1 GenerativeNetworks.tar.gz.gz 117.0 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 106.2 MB
22/3. Experiment with YOLO on still images, webcam and videos.mp4 104.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 103.8 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4 102.4 MB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp4 99.8 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp4 99.6 MB
24/4. Implementing GANs in Keras.mp4 96.3 MB
11/2. Understanding the Confusion Matrix.mp4 93.0 MB
12/4. Build a Fruit Classifier.mp4 92.9 MB
1. Introduction/1. Course Introduction.mp4 90.2 MB
19/5.1 U_NET.zip.zip 90.0 MB
9/4. Filter Visualizations.mp4 89.5 MB
24/2. Introduction To GANs.mp4 85.3 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp4 84.0 MB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp4 83.6 MB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 82.1 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 82.0 MB
9/3. Saliency Maps & Class Activation Maps.mp4 80.8 MB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 77.4 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 74.9 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp4 74.3 MB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp4 74.2 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp4 73.7 MB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 72.6 MB
4/2. Experiment with a Handwriting Classifier.mp4 67.3 MB
12/2. Types Optimizers and Adaptive Learning Rate Methods.mp4 67.2 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 65.7 MB
9/2. Saliency Maps & Class Activation Maps.mp4 64.2 MB
6. Neural Networks Explained in Detail/4. Forward Propagation.mp4 63.3 MB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp4 60.1 MB
6. Neural Networks Explained in Detail/5. Activation Functions.mp4 59.6 MB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4 58.8 MB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp4 58.4 MB
15/3.1 17_flowers.tar.gz.gz 57.5 MB
3/1.3 Master Deep Learning Computer Vision Slides.pdf.pdf 56.5 MB
3/1.5 Slides - Deep-Learning-Computer-Vision.pdf.pdf 56.5 MB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 56.3 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.mp4 52.9 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4 52.5 MB
6. Neural Networks Explained in Detail/2. Machine Learning Overview.mp4 52.3 MB
6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.mp4 52.1 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.mp4 51.9 MB
22/2. Setting up and install Yolo DarkNet and DarkFlow.mp4 51.7 MB
20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.mp4 51.6 MB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 51.1 MB
21. TensorFlow Object Detection API/2. TFOD API Install and Setup.mp4 47.6 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1.1 MasterOpenCV.tar.gz.gz 47.1 MB
24/5. Face Aging GAN.mp4 46.8 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.mp4 46.5 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.srt 45.8 MB
15/2. What is Transfer Learning and Fine Tuning.mp4 44.9 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4 44.8 MB
11/3. Finding and Viewing Misclassified Data.mp4 44.4 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4 43.5 MB
19/4. The Intersection over Union (IoU) Metric.mp4 43.0 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.mp4 42.3 MB
13/3. Build AlexNet and test on CIFAR10.mp4 42.2 MB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 41.4 MB
4/4. OpenCV Demo – Live Sketch with Webcam.mp4 41.2 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.mp4 40.8 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.mp4 36.7 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.mp4 36.2 MB
9/5. Heat Map Visualizations of Class Activations.mp4 34.2 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.mp4 33.8 MB
20. Principles of Object Detection/5. YOLO to YOLOv3.mp4 33.1 MB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 32.3 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.mp4 32.2 MB
13/2. Build LeNet and test on MNIST.mp4 32.1 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.mp4 30.8 MB
19/3. U-Net Image Segmentation with CNNs.mp4 30.5 MB
19/2. What is Segmentation And Applications in Medical Imaging.mp4 29.6 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.mp4 29.5 MB
13/5.1 fashion_mnist.tar.gz.gz 29.4 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.mp4 28.9 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.mp4 28.8 MB
26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 28.2 MB
4/3. Experiment with a Image Classifier.mp4 27.3 MB
24/3. Mathematics of GANs.mp4 27.2 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.mp4 27.2 MB
6. Neural Networks Explained in Detail/12. Review and Best Practices.mp4 27.1 MB
6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.mp4 26.1 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.mp4 25.6 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.mp4 25.4 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.mp4 24.2 MB
6. Neural Networks Explained in Detail/3. Neural Networks Explained.mp4 23.3 MB
13/4. Batch Normalization.mp4 23.2 MB
26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 23.0 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.mp4 21.3 MB
26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.mp4 19.6 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.mp4 18.2 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.mp4 17.3 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.mp4 16.0 MB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp4 15.0 MB
14/3. Understanding VGG16 and VGG19.mp4 14.4 MB
14/5. Understanding InceptionV3.mp4 14.4 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.mp4 14.2 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.mp4 13.9 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.mp4 13.8 MB
20. Principles of Object Detection/4. Single Shot Detectors (SSDs).mp4 12.4 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp4 11.5 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.mp4 11.1 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.mp4 10.9 MB
14/4. Understanding ResNet50.mp4 9.8 MB
26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 8.6 MB
9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 8.3 MB
6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.mp4 7.8 MB
29/1.1 CVApiWebAPp.tar.gz.gz 7.7 MB
4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 7.5 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.mp4 5.6 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.mp4 5.1 MB
22/4.1 LondonUnderground_train.tar.gz.gz 5.1 MB
24/1. Generative Adverserial Neural Networks Chapter Overview.mp4 4.6 MB
18/1. Chapter Introduction.mp4 4.6 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4 3.9 MB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 3.4 MB
20. Principles of Object Detection/1. Chapter Introduction.mp4 3.4 MB
26. The Computer Vision World/1. Chapter Introduction.mp4 3.2 MB
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp4 3.1 MB
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 2.9 MB
14/1. Chapter Introduction.mp4 2.9 MB
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 2.8 MB
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 2.5 MB
22/1. Chapter Introduction.mp4 2.5 MB
21. TensorFlow Object Detection API/1. Chapter Introduction.mp4 2.4 MB
15/1. Chapter Introduction.mp4 2.3 MB
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp4 2.1 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp4 1.9 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.mp4 1.5 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/40.1 Lecture 6.2 and 6.3.tar.gz.gz 271.5 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/41.1 Lecture 6.2 and 6.3.tar.gz.gz 271.5 KB
27. BONUS - Build a Credit Card Number Reader/1.1 Credit-Card Number Identification.zip.zip 128.4 KB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt 31.4 KB
28. BONUS - Use Cloud GPUs on PaperSpace/2.1 AlexNet CIFAR10.zip.zip 29.6 KB
18/2. Build an Emotion, Facial Expression Detector.srt 26.1 KB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.srt 22.3 KB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.srt 21.2 KB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.srt 21.0 KB
19/5. Finding the Nuclei in Divergent Images.srt 20.9 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.srt 19.9 KB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.srt 17.9 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.srt 17.8 KB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt 17.6 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.srt 17.4 KB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.srt 17.3 KB
24/2. Introduction To GANs.srt 16.6 KB
11/2. Understanding the Confusion Matrix.srt 16.5 KB
1. Introduction/1. Course Introduction.srt 15.7 KB
24/4. Implementing GANs in Keras.srt 15.6 KB
28. BONUS - Use Cloud GPUs on PaperSpace/1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html 15.0 KB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).srt 14.4 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.srt 14.3 KB
9/4. Filter Visualizations.srt 13.5 KB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.srt 13.2 KB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.srt 12.6 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.srt 12.3 KB
27. BONUS - Build a Credit Card Number Reader/1. Step 1 - Creating a Credit Card Number Dataset.html 12.3 KB
22/3. Experiment with YOLO on still images, webcam and videos.srt 12.1 KB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt 12.1 KB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.srt 11.9 KB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.srt 11.9 KB
6. Neural Networks Explained in Detail/5. Activation Functions.srt 11.8 KB
12/4. Build a Fruit Classifier.srt 11.6 KB
6. Neural Networks Explained in Detail/4. Forward Propagation.srt 11.5 KB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.srt 11.4 KB
6. Neural Networks Explained in Detail/2. Machine Learning Overview.srt 11.3 KB
9/3. Saliency Maps & Class Activation Maps.srt 11.3 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.srt 11.2 KB
12/2. Types Optimizers and Adaptive Learning Rate Methods.srt 11.0 KB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.srt 10.7 KB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.srt 10.6 KB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.srt 10.1 KB
6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.srt 9.7 KB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt 9.4 KB
15/2. What is Transfer Learning and Fine Tuning.srt 9.3 KB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.srt 9.2 KB
9/2. Saliency Maps & Class Activation Maps.srt 9.2 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.srt 9.1 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.srt 9.0 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.srt 8.6 KB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.srt 8.6 KB
11/3. Finding and Viewing Misclassified Data.srt 8.5 KB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt 8.4 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.srt 8.3 KB
4/2. Experiment with a Handwriting Classifier.srt 8.2 KB
27. BONUS - Build a Credit Card Number Reader/3. Step 3 - Extracting A Credit Card from the Background.html 8.0 KB
20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.srt 7.7 KB
22/2. Setting up and install Yolo DarkNet and DarkFlow.srt 7.6 KB
24/5. Face Aging GAN.srt 7.5 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.srt 7.4 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.srt 7.0 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.srt 7.0 KB
28. BONUS - Use Cloud GPUs on PaperSpace/2. Train a AlexNet on PaperSpace.html 6.9 KB
29/5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html 6.9 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.srt 6.8 KB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt 6.7 KB
3/2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html 6.7 KB
29/2. Running Your Computer Vision Web App on Flask Locally.html 6.7 KB
21. TensorFlow Object Detection API/2. TFOD API Install and Setup.srt 6.6 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.srt 6.4 KB
19/4. The Intersection over Union (IoU) Metric.srt 6.3 KB
13/3. Build AlexNet and test on CIFAR10.srt 6.3 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.srt 6.2 KB
6. Neural Networks Explained in Detail/12. Review and Best Practices.srt 6.1 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.srt 5.9 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.srt 5.7 KB
19/2. What is Segmentation And Applications in Medical Imaging.srt 5.6 KB
26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.srt 5.6 KB
6. Neural Networks Explained in Detail/3. Neural Networks Explained.srt 5.5 KB
4/4. OpenCV Demo – Live Sketch with Webcam.srt 5.5 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.srt 5.5 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.srt 5.3 KB
20. Principles of Object Detection/5. YOLO to YOLOv3.srt 5.3 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.srt 5.2 KB
24/3. Mathematics of GANs.srt 5.2 KB
29/1. Install and Run Flask.html 5.0 KB
19/3. U-Net Image Segmentation with CNNs.srt 5.0 KB
9/5. Heat Map Visualizations of Class Activations.srt 5.0 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.srt 4.9 KB
6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.srt 4.8 KB
29/3. Running Your Computer Vision API.html 4.8 KB
29/7. Using FileZilla to transfer files to your EC2 Instance.html 4.7 KB
27. BONUS - Build a Credit Card Number Reader/2. Step 2 - Training Our Model.html 4.7 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.srt 4.6 KB
26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.srt 4.6 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.srt 4.6 KB
13/2. Build LeNet and test on MNIST.srt 4.4 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.srt 4.3 KB
4/3. Experiment with a Image Classifier.srt 4.3 KB
13/4. Batch Normalization.srt 4.2 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.srt 4.2 KB
27. BONUS - Build a Credit Card Number Reader/4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html 4.1 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.srt 4.1 KB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.srt 3.6 KB
14/5. Understanding InceptionV3.srt 3.5 KB
3/3. Optional - Manual Setup of Ubuntu Virtual Machine.html 3.5 KB
26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.srt 3.5 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.srt 3.3 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.srt 3.2 KB
29/9. Running your CV API on EC2.html 3.1 KB
3/4. Optional - Setting up a shared drive with your Host OS.html 2.9 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.srt 2.8 KB
20. Principles of Object Detection/4. Single Shot Detectors (SSDs).srt 2.7 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.srt 2.7 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.srt 2.6 KB
29/8. Running your CV Web App on EC2.html 2.4 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.srt 2.4 KB
14/3. Understanding VGG16 and VGG19.srt 2.4 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.srt 2.2 KB
6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.srt 2.1 KB
14/4. Understanding ResNet50.srt 2.1 KB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.srt 2.0 KB
29/4. Setting Up An AWS Account.html 1.7 KB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/31. Circle Detection.html 1.6 KB
29/6. Changing your EC2 Security Group.html 1.6 KB
26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.srt 1.6 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.srt 1.5 KB
7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.srt 1.5 KB
9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt 1.5 KB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.srt 1.4 KB
18/1. Chapter Introduction.srt 1.3 KB
24/1. Generative Adverserial Neural Networks Chapter Overview.srt 1.2 KB
20. Principles of Object Detection/1. Chapter Introduction.srt 1.1 KB
25. Face Recognition with VGGFace/2. Face Matching with VGGFace.html 1.1 KB
26. The Computer Vision World/1. Chapter Introduction.srt 1.0 KB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt 1.0 KB
25. Face Recognition with VGGFace/1. Basic Face Recognition using LittleVGG CNN.html 997 bytes
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt 917 bytes
4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.srt 900 bytes
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt 891 bytes
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.srt 863 bytes
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt 860 bytes
14/1. Chapter Introduction.srt 856 bytes
15/1. Chapter Introduction.srt 813 bytes
21. TensorFlow Object Detection API/1. Chapter Introduction.srt 765 bytes
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.srt 659 bytes
22/1. Chapter Introduction.srt 658 bytes
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.srt 636 bytes
23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.srt 496 bytes
25. Face Recognition with VGGFace/3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html 441 bytes
3/1.1 Download Your Deep Learning Virtual Machine HERE.html 143 bytes
[Tutorialsplanet.NET].url 128 bytes
22/2.1 Guide to the MacOS Install.html 124 bytes
21. TensorFlow Object Detection API/2.1 Download the code (for those not using the Virtual Machine).html 108 bytes
22/2.2 Download the YOLO files (if not using the VM).html 108 bytes
3/1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html 108 bytes

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