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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url |
328B |
| 1.1 25. Face Recognition All Notebooks.tar.gz.gz |
120.75MB |
| 1.1 Credit-Card Number Identification.zip.zip |
128.45KB |
| 1.1 CVApiWebAPp.tar.gz.gz |
7.70MB |
| 1.1 MasterOpenCV.tar.gz.gz |
47.11MB |
| 1.1 MIRROR - Download Your Deep Learning Virtual Machine HERE.html |
108B |
| 1.2 Master Deep Learning Computer Vision Slides.pdf.pdf |
56.53MB |
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643.18MB |
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143B |
| 1. Basic Face Recognition using LittleVGG CNN.html |
997B |
| 1. Building a CNN in Keras.mp4 |
5.61MB |
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1.21KB |
| 1. Chapter Introduction.mp4 |
2.90MB |
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757B |
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726B |
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584B |
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690B |
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595B |
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445B |
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948B |
| 1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 |
2.92MB |
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804B |
| 1. Convolutional Neural Networks Chapter Overview.mp4 |
5.14MB |
| 1. Convolutional Neural Networks Chapter Overview.vtt |
1.29KB |
| 1. Course Introduction.mp4 |
88.64MB |
| 1. Course Introduction.vtt |
13.76KB |
| 1. Data Augmentation Chapter Overview.mp4 |
3.93MB |
| 1. Data Augmentation Chapter Overview.vtt |
1.33KB |
| 1. Generative Adverserial Neural Networks Chapter Overview.mp4 |
4.64MB |
| 1. Generative Adverserial Neural Networks Chapter Overview.vtt |
1.05KB |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 |
8.38MB |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.vtt |
801B |
| 1. Install and Run Flask.html |
5.01KB |
| 1. Introduction to Computer Vision & Deep Learning.mp4 |
3.88MB |
| 1. Introduction to Computer Vision & Deep Learning.vtt |
776B |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 |
2.53MB |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.vtt |
818B |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 |
3.42MB |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.vtt |
932B |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 |
8.24MB |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.vtt |
1.30KB |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 |
2.76MB |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.vtt |
773B |
| 1. Neural Networks Chapter Overview.mp4 |
7.83MB |
| 1. Neural Networks Chapter Overview.vtt |
1.89KB |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 |
82.32MB |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).vtt |
12.30KB |
| 1. Setup OpenCV.mp4 |
13.44MB |
| 1. Setup OpenCV.vtt |
1.89KB |
| 1. Step 1 - Creating a Credit Card Number Dataset.html |
12.30KB |
| 1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html |
15.03KB |
| 10. Epochs, Iterations and Batch Sizes.mp4 |
26.07MB |
| 10. Epochs, Iterations and Batch Sizes.vtt |
4.23KB |
| 10. Saving and Loading Your Model.mp4 |
29.51MB |
| 10. Saving and Loading Your Model.vtt |
3.92KB |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 |
11.04MB |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt |
3.07KB |
| 11. Displaying Your Model Visually.mp4 |
25.44MB |
| 11. Displaying Your Model Visually.vtt |
3.77KB |
| 11. Image Translations - Moving Images Up, Down. Left And Right.mp4 |
18.50MB |
| 11. Image Translations - Moving Images Up, Down. Left And Right.vtt |
3.51KB |
| 11. Measuring Performance and the Confusion Matrix.mp4 |
52.07MB |
| 11. Measuring Performance and the Confusion Matrix.vtt |
8.48KB |
| 12. Building a Simple Image Classifier using CIFAR10.mp4 |
74.35MB |
| 12. Building a Simple Image Classifier using CIFAR10.vtt |
9.74KB |
| 12. Review and Best Practices.mp4 |
27.13MB |
| 12. Review and Best Practices.vtt |
5.35KB |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 |
23.10MB |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt |
4.04KB |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 |
36.56MB |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt |
5.72KB |
| 14. Image Pyramids - Another Way of Re-Sizing.mp4 |
14.22MB |
| 14. Image Pyramids - Another Way of Re-Sizing.vtt |
2.44KB |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 |
24.12MB |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt |
3.38KB |
| 16. Arithmetic Operations - Brightening and Darkening Images.mp4 |
31.09MB |
| 16. Arithmetic Operations - Brightening and Darkening Images.vtt |
4.47KB |
| 17. Bitwise Operations - How Image Masking Works.mp4 |
28.88MB |
| 17. Bitwise Operations - How Image Masking Works.vtt |
4.92KB |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 |
70.23MB |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt |
9.59KB |
| 19. Sharpening - Reverse Your Images Blurs.mp4 |
17.33MB |
| 19. Sharpening - Reverse Your Images Blurs.vtt |
2.34KB |
| 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286B |
| 2.1 AlexNet CIFAR10.zip.zip |
29.60KB |
| 2.1 datasets.zip.zip |
65.68MB |
| 2.1 Download the code (for those not using the Virtual Machine).html |
108B |
| 2.1 Download the YOLO files (if not using the VM).html |
108B |
| 2.1 fer2013.zip.zip |
143.26MB |
| 2.1 vgg_face_weights.h5.tar.gz.gz |
520.70MB |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 |
22.98MB |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.vtt |
4.07KB |
| 2. Build an Emotion, Facial Expression Detector.mp4 |
201.96MB |
| 2. Build an Emotion, Facial Expression Detector.vtt |
21.98KB |
| 2. Build LeNet and test on MNIST.mp4 |
32.12MB |
| 2. Build LeNet and test on MNIST.vtt |
3.80KB |
| 2. Convolutional Neural Networks Introduction.mp4 |
36.66MB |
| 2. Convolutional Neural Networks Introduction.vtt |
6.12KB |
| 2. DeepDream – How AI Generated Art All Started.mp4 |
83.97MB |
| 2. DeepDream – How AI Generated Art All Started.vtt |
9.88KB |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 |
32.33MB |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.vtt |
5.86KB |
| 2. Experiment with a Handwriting Classifier.mp4 |
67.30MB |
| 2. Experiment with a Handwriting Classifier.vtt |
7.08KB |
| 2. Face Matching with VGGFace.html |
1.07KB |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 |
82.06MB |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.vtt |
10.22KB |
| 2. Introducing LittleVGG.mp4 |
11.45MB |
| 2. Introducing LittleVGG.vtt |
1.72KB |
| 2. Introduction To GANs.mp4 |
85.34MB |
| 2. Introduction To GANs.vtt |
14.29KB |
| 2. Introduction to Keras & Tensorflow.mp4 |
73.69MB |
| 2. Introduction to Keras & Tensorflow.vtt |
15.47KB |
| 2. Machine Learning Overview.mp4 |
52.28MB |
| 2. Machine Learning Overview.vtt |
9.99KB |
| 2. Object Detection Introduction - Sliding Windows with HOGs.mp4 |
51.65MB |
| 2. Object Detection Introduction - Sliding Windows with HOGs.vtt |
6.78KB |
| 2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html |
5.86KB |
| 2. Running Your Computer Vision Web App on Flask Locally.html |
6.64KB |
| 2. Saliency Maps & Class Activation Maps.mp4 |
64.15MB |
| 2. Saliency Maps & Class Activation Maps.vtt |
8.01KB |
| 2. Setting up and install Yolo DarkNet and DarkFlow.mp4 |
51.67MB |
| 2. Setting up and install Yolo DarkNet and DarkFlow.vtt |
6.43KB |
| 2. Splitting Data into Test and Training Datasets.mp4 |
103.82MB |
| 2. Splitting Data into Test and Training Datasets.vtt |
12.26KB |
| 2. Step 2 - Training Our Model.html |
4.72KB |
| 2. TFOD API Install and Setup.mp4 |
47.56MB |
| 2. TFOD API Install and Setup.vtt |
5.85KB |
| 2. Train a AlexNet on PaperSpace.html |
6.89KB |
| 2. Types Optimizers and Adaptive Learning Rate Methods.mp4 |
67.24MB |
| 2. Types Optimizers and Adaptive Learning Rate Methods.vtt |
9.57KB |
| 2. Understanding the Confusion Matrix.mp4 |
93.03MB |
| 2. Understanding the Confusion Matrix.vtt |
14.18KB |
| 2. What are Images.mp4 |
15.99MB |
| 2. What are Images.vtt |
2.97KB |
| 2. What is Computer Vision and What Makes it Hard.mp4 |
59.63MB |
| 2. What is Computer Vision and What Makes it Hard.vtt |
7.45KB |
| 2. What is Segmentation And Applications in Medical Imaging.mp4 |
29.64MB |
| 2. What is Segmentation And Applications in Medical Imaging.vtt |
4.95KB |
| 2. What is Transfer Learning and Fine Tuning.mp4 |
44.91MB |
| 2. What is Transfer Learning and Fine Tuning.vtt |
8.14KB |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 |
64.83MB |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt |
10.63KB |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 |
42.03MB |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt |
6.33KB |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.mp4 |
45.65MB |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.vtt |
6.37KB |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 |
31.65MB |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt |
4.90KB |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 |
43.77MB |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt |
6.55KB |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 |
77.41MB |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt |
14.55KB |
| 26. Sorting Contours - Sort Those Shapes By Size.mp4 |
106.18MB |
| 26. Sorting Contours - Sort Those Shapes By Size.vtt |
17.24KB |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 |
46.95MB |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt |
7.11KB |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 |
52.90MB |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt |
6.89KB |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 |
47.28MB |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt |
7.20KB |
| 3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url |
163B |
| 3.1 17_flowers.tar.gz.gz |
57.55MB |
| 3.1 age-gender-estimation.tar.gz.gz |
552.20MB |
| 3.1 simpsons.tar.gz.gz |
549.54MB |
| 3. Advanced Initializations.mp4 |
14.96MB |
| 3. Advanced Initializations.vtt |
3.16KB |
| 3. Build AlexNet and test on CIFAR10.mp4 |
42.16MB |
| 3. Build AlexNet and test on CIFAR10.vtt |
5.39KB |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 |
135.32MB |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.vtt |
15.11KB |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 |
260.78MB |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.vtt |
26.21KB |
| 3. Building a Handwriting Recognition CNN.mp4 |
11.15MB |
| 3. Building a Handwriting Recognition CNN.vtt |
2.21KB |
| 3. Convolutions & Image Features.mp4 |
102.35MB |
| 3. Convolutions & Image Features.vtt |
15.18KB |
| 3. Experiment with a Image Classifier.mp4 |
27.30MB |
| 3. Experiment with a Image Classifier.vtt |
3.69KB |
| 3. Experiment with a ResNet SSD on images, webcam and videos.mp4 |
83.56MB |
| 3. Experiment with a ResNet SSD on images, webcam and videos.vtt |
8.58KB |
| 3. Experiment with YOLO on still images, webcam and videos.mp4 |
104.48MB |
| 3. Experiment with YOLO on still images, webcam and videos.vtt |
10.39KB |
| 3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html |
441B |
| 3. Finding and Viewing Misclassified Data.mp4 |
44.36MB |
| 3. Finding and Viewing Misclassified Data.vtt |
7.31KB |
| 3. How are Images Formed.mp4 |
21.25MB |
| 3. How are Images Formed.vtt |
4.13KB |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 |
51.14MB |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.vtt |
8.25KB |
| 3. Mathematics of GANs.mp4 |
27.16MB |
| 3. Mathematics of GANs.vtt |
4.54KB |
| 3. Neural Networks Explained.mp4 |
23.35MB |
| 3. Neural Networks Explained.vtt |
4.80KB |
| 3. Neural Style Transfer.mp4 |
124.75MB |
| 3. Neural Style Transfer.vtt |
15.00KB |
| 3. Optional - Manual Setup of Ubuntu Virtual Machine.html |
3.52KB |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 |
8.57MB |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.vtt |
1.38KB |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 |
135.87MB |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.vtt |
18.26KB |
| 3. Running Your Computer Vision API.html |
4.79KB |
| 3. Saliency Maps & Class Activation Maps.mp4 |
80.78MB |
| 3. Saliency Maps & Class Activation Maps.vtt |
9.89KB |
| 3. Simpsons Character Recognition using LittleVGG.mp4 |
99.61MB |
| 3. Simpsons Character Recognition using LittleVGG.vtt |
10.75KB |
| 3. Step 3 - Extracting A Credit Card from the Background.html |
7.97KB |
| 3. Train a Cats vs. Dogs Classifier.mp4 |
44.79MB |
| 3. Train a Cats vs. Dogs Classifier.vtt |
5.33KB |
| 3. Understanding VGG16 and VGG19.mp4 |
14.45MB |
| 3. Understanding VGG16 and VGG19.vtt |
2.11KB |
| 3. U-Net Image Segmentation with CNNs.mp4 |
30.46MB |
| 3. U-Net Image Segmentation with CNNs.vtt |
4.41KB |
| 3. What are Images.mp4 |
70.41MB |
| 3. What are Images.vtt |
9.29KB |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 |
65.68MB |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt |
8.63KB |
| 31. Circle Detection.html |
1.59KB |
| 32. Blob Detection - Detect The Center of Flowers.mp4 |
32.24MB |
| 32. Blob Detection - Detect The Center of Flowers.vtt |
4.52KB |
| 33. Mini Project 3 - Counting Circles and Ellipses.mp4 |
51.89MB |
| 33. Mini Project 3 - Counting Circles and Ellipses.vtt |
7.83KB |
| 34. Object Detection Overview.mp4 |
30.80MB |
| 34. Object Detection Overview.vtt |
4.38KB |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 |
25.90MB |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt |
3.81KB |
| 36. Feature Description Theory - How We Digitally Represent Objects.mp4 |
35.31MB |
| 36. Feature Description Theory - How We Digitally Represent Objects.vtt |
6.46KB |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 |
52.08MB |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt |
9.17KB |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 |
81.97MB |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt |
10.42KB |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 |
43.06MB |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt |
6.90KB |
| 4. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239B |
| 4.1 fruits-360.tar.gz.gz |
376.04MB |
| 4.1 monkey_breed.zip.zip |
546.67MB |
| 4. Batch Normalization.mp4 |
23.16MB |
| 4. Batch Normalization.vtt |
3.75KB |
| 4. Boosting Accuracy with Data Augmentation.mp4 |
43.50MB |
| 4. Boosting Accuracy with Data Augmentation.vtt |
6.48KB |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 |
81.96MB |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.vtt |
9.09KB |
| 4. Build a Fruit Classifier.mp4 |
92.94MB |
| 4. Build a Fruit Classifier.vtt |
9.92KB |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 |
159.11MB |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.vtt |
19.00KB |
| 4. Depth, Stride and Padding.mp4 |
46.52MB |
| 4. Depth, Stride and Padding.vtt |
7.91KB |
| 4. Filter Visualizations.mp4 |
89.48MB |
| 4. Filter Visualizations.vtt |
11.68KB |
| 4. Forward Propagation.mp4 |
63.34MB |
| 4. Forward Propagation.vtt |
9.87KB |
| 4. How to Train a TFOD Model.mp4 |
74.21MB |
| 4. How to Train a TFOD Model.vtt |
10.29KB |
| 4. Implementing GANs in Keras.mp4 |
96.35MB |
| 4. Implementing GANs in Keras.vtt |
13.44KB |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 |
49.87MB |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.vtt |
8.10KB |
| 4. Loading Our Data.mp4 |
52.92MB |
| 4. Loading Our Data.vtt |
7.45KB |
| 4. OpenCV Demo – Live Sketch with Webcam.mp4 |
41.17MB |
| 4. OpenCV Demo – Live Sketch with Webcam.vtt |
4.71KB |
| 4. Optional - Setting up a shared drive with your Host OS.html |
2.92KB |
| 4. Popular Computer Vision Conferences & Finding Datasets.mp4 |
19.59MB |
| 4. Popular Computer Vision Conferences & Finding Datasets.vtt |
3.10KB |
| 4. Setting Up An AWS Account.html |
1.74KB |
| 4. Single Shot Detectors (SSDs).mp4 |
12.45MB |
| 4. Single Shot Detectors (SSDs).vtt |
2.40KB |
| 4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html |
4.10KB |
| 4. Storing Images on Computers.mp4 |
42.31MB |
| 4. Storing Images on Computers.vtt |
5.94KB |
| 4. The Intersection over Union (IoU) Metric.mp4 |
42.96MB |
| 4. The Intersection over Union (IoU) Metric.vtt |
5.51KB |
| 4. Understanding ResNet50.mp4 |
9.75MB |
| 4. Understanding ResNet50.vtt |
1.83KB |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 |
89.26MB |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt |
14.30KB |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 |
56.42MB |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt |
9.16KB |
| 5. (Discuss.FTUForum.com) FTU Discussion Forum.url |
294B |
| 5.1 fashion_mnist.tar.gz.gz |
29.44MB |
| 5.1 GenerativeNetworks.tar.gz.gz |
116.98MB |
| 5.1 U_NET.zip.zip |
89.95MB |
| 5. Activation Functions.mp4 |
59.63MB |
| 5. Activation Functions.vtt |
10.19KB |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 |
56.33MB |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).vtt |
7.32KB |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 |
32.55MB |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.vtt |
4.89KB |
| 5. Face Aging GAN.mp4 |
46.76MB |
| 5. Face Aging GAN.vtt |
6.46KB |
| 5. Finding the Nuclei in Divergent Images.mp4 |
171.07MB |
| 5. Finding the Nuclei in Divergent Images.vtt |
18.03KB |
| 5. Getting our data in ‘Shape’.mp4 |
33.80MB |
| 5. Getting our data in ‘Shape’.vtt |
5.10KB |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 |
74.91MB |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.vtt |
10.68KB |
| 5. Heat Map Visualizations of Class Activations.mp4 |
34.22MB |
| 5. Heat Map Visualizations of Class Activations.vtt |
4.39KB |
| 5. ReLU.mp4 |
10.88MB |
| 5. ReLU.vtt |
2.17KB |
| 5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html |
6.88KB |
| 5. Types of Data Augmentation.mp4 |
52.51MB |
| 5. Types of Data Augmentation.vtt |
7.17KB |
| 5. Understanding InceptionV3.mp4 |
14.35MB |
| 5. Understanding InceptionV3.vtt |
3.11KB |
| 5. YOLO to YOLOv3.mp4 |
33.08MB |
| 5. YOLO to YOLOv3.vtt |
4.66KB |
| 6. Changing your EC2 Security Group.html |
1.59KB |
| 6. Grayscaling - Converting Color Images To Shades of Gray.mp4 |
14.99MB |
| 6. Grayscaling - Converting Color Images To Shades of Gray.vtt |
2.50KB |
| 6. Hot One Encoding.mp4 |
18.19MB |
| 6. Hot One Encoding.vtt |
3.48KB |
| 6. Pooling.mp4 |
28.82MB |
| 6. Pooling.vtt |
5.65KB |
| 6. Training Part 1 – Loss Functions.mp4 |
58.42MB |
| 6. Training Part 1 – Loss Functions.vtt |
10.38KB |
| 7. Building & Compiling Our Model.mp4 |
36.21MB |
| 7. Building & Compiling Our Model.vtt |
4.78KB |
| 7. The Fully Connected Layer.mp4 |
13.84MB |
| 7. The Fully Connected Layer.vtt |
2.79KB |
| 7. Training Part 2 – Backpropagation and Gradient Descent.mp4 |
72.62MB |
| 7. Training Part 2 – Backpropagation and Gradient Descent.vtt |
11.55KB |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 |
106.22MB |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt |
14.70KB |
| 7. Using FileZilla to transfer files to your EC2 Instance.html |
4.73KB |
| 8. Backpropagation & Learning Rates – A Worked Example.mp4 |
99.84MB |
| 8. Backpropagation & Learning Rates – A Worked Example.vtt |
15.35KB |
| 8. Histogram representation of Images - Visualizing the Components of Images.mp4 |
42.38MB |
| 8. Histogram representation of Images - Visualizing the Components of Images.vtt |
5.44KB |
| 8. Running your CV Web App on EC2.html |
2.45KB |
| 8. Training CNNs.mp4 |
27.16MB |
| 8. Training CNNs.vtt |
3.70KB |
| 8. Training Our Classifier.mp4 |
40.78MB |
| 8. Training Our Classifier.vtt |
6.12KB |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 |
30.97MB |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt |
4.72KB |
| 9. Designing Your Own CNN.mp4 |
24.24MB |
| 9. Designing Your Own CNN.vtt |
4.65KB |
| 9. Plotting Loss and Accuracy Charts.mp4 |
25.57MB |
| 9. Plotting Loss and Accuracy Charts.vtt |
4.00KB |
| 9. Regularization, Overfitting, Generalization and Test Datasets.mp4 |
118.39MB |
| 9. Regularization, Overfitting, Generalization and Test Datasets.vtt |
18.38KB |
| 9. Running your CV API on EC2.html |
3.13KB |
| How you can help Team-FTU.txt |
237B |