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

  • 收录时间:2020-06-03 23:31:43
  • 文件大小:10GB
  • 下载次数:36
  • 最近下载:2020-12-18 07:08:02
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文件列表

  1. 3/1.2 DeepLearningCV2.tar.gz.gz 643MB
  2. 18/3.1 age-gender-estimation.tar.gz.gz 552MB
  3. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz 550MB
  4. 15/4.1 monkey_breed.zip.zip 547MB
  5. 25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz 521MB
  6. 12/4.1 fruits-360.tar.gz.gz 376MB
  7. 18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 261MB
  8. 18/2. Build an Emotion, Facial Expression Detector.mp4 202MB
  9. 19/5. Finding the Nuclei in Divergent Images.mp4 171MB
  10. 22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 159MB
  11. 18/2.1 fer2013.zip.zip 143MB
  12. 20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 136MB
  13. 15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 135MB
  14. 23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 125MB
  15. 25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz 121MB
  16. 6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 118MB
  17. 24/5.1 GenerativeNetworks.tar.gz.gz 117MB
  18. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 106MB
  19. 22/3. Experiment with YOLO on still images, webcam and videos.mp4 104MB
  20. 10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 104MB
  21. 7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4 102MB
  22. 6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp4 100MB
  23. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp4 100MB
  24. 24/4. Implementing GANs in Keras.mp4 96MB
  25. 11/2. Understanding the Confusion Matrix.mp4 93MB
  26. 12/4. Build a Fruit Classifier.mp4 93MB
  27. 1. Introduction/1. Course Introduction.mp4 90MB
  28. 19/5.1 U_NET.zip.zip 90MB
  29. 9/4. Filter Visualizations.mp4 89MB
  30. 24/2. Introduction To GANs.mp4 85MB
  31. 23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp4 84MB
  32. 21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp4 84MB
  33. 14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 82MB
  34. 15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 82MB
  35. 9/3. Saliency Maps & Class Activation Maps.mp4 81MB
  36. 3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 77MB
  37. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 75MB
  38. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp4 74MB
  39. 21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp4 74MB
  40. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp4 74MB
  41. 6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 73MB
  42. 4/2. Experiment with a Handwriting Classifier.mp4 67MB
  43. 12/2. Types Optimizers and Adaptive Learning Rate Methods.mp4 67MB
  44. 10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 66MB
  45. 9/2. Saliency Maps & Class Activation Maps.mp4 64MB
  46. 6. Neural Networks Explained in Detail/4. Forward Propagation.mp4 63MB
  47. 2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp4 60MB
  48. 6. Neural Networks Explained in Detail/5. Activation Functions.mp4 60MB
  49. 2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4 59MB
  50. 6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp4 58MB
  51. 15/3.1 17_flowers.tar.gz.gz 58MB
  52. 3/1.3 Master Deep Learning Computer Vision Slides.pdf.pdf 57MB
  53. 3/1.5 Slides - Deep-Learning-Computer-Vision.pdf.pdf 57MB
  54. 13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 56MB
  55. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.mp4 53MB
  56. 10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4 53MB
  57. 6. Neural Networks Explained in Detail/2. Machine Learning Overview.mp4 52MB
  58. 6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.mp4 52MB
  59. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.mp4 52MB
  60. 22/2. Setting up and install Yolo DarkNet and DarkFlow.mp4 52MB
  61. 20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.mp4 52MB
  62. 12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 51MB
  63. 21. TensorFlow Object Detection API/2. TFOD API Install and Setup.mp4 48MB
  64. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1.1 MasterOpenCV.tar.gz.gz 47MB
  65. 24/5. Face Aging GAN.mp4 47MB
  66. 7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.mp4 47MB
  67. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.srt 46MB
  68. 15/2. What is Transfer Learning and Fine Tuning.mp4 45MB
  69. 10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4 45MB
  70. 11/3. Finding and Viewing Misclassified Data.mp4 44MB
  71. 10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4 44MB
  72. 19/4. The Intersection over Union (IoU) Metric.mp4 43MB
  73. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.mp4 42MB
  74. 13/3. Build AlexNet and test on CIFAR10.mp4 42MB
  75. 2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 41MB
  76. 4/4. OpenCV Demo – Live Sketch with Webcam.mp4 41MB
  77. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.mp4 41MB
  78. 7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.mp4 37MB
  79. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.mp4 36MB
  80. 9/5. Heat Map Visualizations of Class Activations.mp4 34MB
  81. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.mp4 34MB
  82. 20. Principles of Object Detection/5. YOLO to YOLOv3.mp4 33MB
  83. 17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 32MB
  84. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.mp4 32MB
  85. 13/2. Build LeNet and test on MNIST.mp4 32MB
  86. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.mp4 31MB
  87. 19/3. U-Net Image Segmentation with CNNs.mp4 30MB
  88. 19/2. What is Segmentation And Applications in Medical Imaging.mp4 30MB
  89. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.mp4 30MB
  90. 13/5.1 fashion_mnist.tar.gz.gz 29MB
  91. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.mp4 29MB
  92. 7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.mp4 29MB
  93. 26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 28MB
  94. 4/3. Experiment with a Image Classifier.mp4 27MB
  95. 24/3. Mathematics of GANs.mp4 27MB
  96. 7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.mp4 27MB
  97. 6. Neural Networks Explained in Detail/12. Review and Best Practices.mp4 27MB
  98. 6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.mp4 26MB
  99. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.mp4 26MB
  100. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.mp4 25MB
  101. 7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.mp4 24MB
  102. 6. Neural Networks Explained in Detail/3. Neural Networks Explained.mp4 23MB
  103. 13/4. Batch Normalization.mp4 23MB
  104. 26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 23MB
  105. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.mp4 21MB
  106. 26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.mp4 20MB
  107. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.mp4 18MB
  108. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.mp4 17MB
  109. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.mp4 16MB
  110. 17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp4 15MB
  111. 14/3. Understanding VGG16 and VGG19.mp4 14MB
  112. 14/5. Understanding InceptionV3.mp4 14MB
  113. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.mp4 14MB
  114. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.mp4 14MB
  115. 7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.mp4 14MB
  116. 20. Principles of Object Detection/4. Single Shot Detectors (SSDs).mp4 12MB
  117. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp4 11MB
  118. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.mp4 11MB
  119. 7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.mp4 11MB
  120. 14/4. Understanding ResNet50.mp4 10MB
  121. 26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 9MB
  122. 9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 8MB
  123. 6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.mp4 8MB
  124. 29/1.1 CVApiWebAPp.tar.gz.gz 8MB
  125. 4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 7MB
  126. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.mp4 6MB
  127. 7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.mp4 5MB
  128. 22/4.1 LondonUnderground_train.tar.gz.gz 5MB
  129. 24/1. Generative Adverserial Neural Networks Chapter Overview.mp4 5MB
  130. 18/1. Chapter Introduction.mp4 5MB
  131. 10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4 4MB
  132. 12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 3MB
  133. 20. Principles of Object Detection/1. Chapter Introduction.mp4 3MB
  134. 26. The Computer Vision World/1. Chapter Introduction.mp4 3MB
  135. 2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp4 3MB
  136. 19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 3MB
  137. 14/1. Chapter Introduction.mp4 3MB
  138. 13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 3MB
  139. 11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 3MB
  140. 22/1. Chapter Introduction.mp4 3MB
  141. 21. TensorFlow Object Detection API/1. Chapter Introduction.mp4 2MB
  142. 15/1. Chapter Introduction.mp4 2MB
  143. 17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp4 2MB
  144. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp4 2MB
  145. 23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.mp4 2MB
  146. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/40.1 Lecture 6.2 and 6.3.tar.gz.gz 272KB
  147. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/41.1 Lecture 6.2 and 6.3.tar.gz.gz 272KB
  148. 27. BONUS - Build a Credit Card Number Reader/1.1 Credit-Card Number Identification.zip.zip 128KB
  149. 18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt 31KB
  150. 28. BONUS - Use Cloud GPUs on PaperSpace/2.1 AlexNet CIFAR10.zip.zip 30KB
  151. 18/2. Build an Emotion, Facial Expression Detector.srt 26KB
  152. 22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.srt 22KB
  153. 6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.srt 21KB
  154. 20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.srt 21KB
  155. 19/5. Finding the Nuclei in Divergent Images.srt 21KB
  156. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.srt 20KB
  157. 6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.srt 18KB
  158. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.srt 18KB
  159. 15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt 18KB
  160. 7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.srt 17KB
  161. 23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.srt 17KB
  162. 24/2. Introduction To GANs.srt 17KB
  163. 11/2. Understanding the Confusion Matrix.srt 17KB
  164. 1. Introduction/1. Course Introduction.srt 16KB
  165. 24/4. Implementing GANs in Keras.srt 16KB
  166. 28. BONUS - Use Cloud GPUs on PaperSpace/1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html 15KB
  167. 3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).srt 14KB
  168. 10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.srt 14KB
  169. 9/4. Filter Visualizations.srt 13KB
  170. 6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.srt 13KB
  171. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.srt 13KB
  172. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.srt 12KB
  173. 27. BONUS - Build a Credit Card Number Reader/1. Step 1 - Creating a Credit Card Number Dataset.html 12KB
  174. 22/3. Experiment with YOLO on still images, webcam and videos.srt 12KB
  175. 14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt 12KB
  176. 6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.srt 12KB
  177. 21. TensorFlow Object Detection API/4. How to Train a TFOD Model.srt 12KB
  178. 6. Neural Networks Explained in Detail/5. Activation Functions.srt 12KB
  179. 12/4. Build a Fruit Classifier.srt 12KB
  180. 6. Neural Networks Explained in Detail/4. Forward Propagation.srt 11KB
  181. 23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.srt 11KB
  182. 6. Neural Networks Explained in Detail/2. Machine Learning Overview.srt 11KB
  183. 9/3. Saliency Maps & Class Activation Maps.srt 11KB
  184. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.srt 11KB
  185. 12/2. Types Optimizers and Adaptive Learning Rate Methods.srt 11KB
  186. 2. Introduction to Computer Vision & Deep Learning/3. What are Images.srt 11KB
  187. 15/4. Build a Flower Classifier with VGG16 using Transfer Learning.srt 11KB
  188. 21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.srt 10KB
  189. 6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.srt 10KB
  190. 12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt 9KB
  191. 15/2. What is Transfer Learning and Fine Tuning.srt 9KB
  192. 2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.srt 9KB
  193. 9/2. Saliency Maps & Class Activation Maps.srt 9KB
  194. 7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.srt 9KB
  195. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.srt 9KB
  196. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.srt 9KB
  197. 2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.srt 9KB
  198. 11/3. Finding and Viewing Misclassified Data.srt 8KB
  199. 13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt 8KB
  200. 10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.srt 8KB
  201. 4/2. Experiment with a Handwriting Classifier.srt 8KB
  202. 27. BONUS - Build a Credit Card Number Reader/3. Step 3 - Extracting A Credit Card from the Background.html 8KB
  203. 20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.srt 8KB
  204. 22/2. Setting up and install Yolo DarkNet and DarkFlow.srt 8KB
  205. 24/5. Face Aging GAN.srt 7KB
  206. 10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.srt 7KB
  207. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.srt 7KB
  208. 7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.srt 7KB
  209. 28. BONUS - Use Cloud GPUs on PaperSpace/2. Train a AlexNet on PaperSpace.html 7KB
  210. 29/5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html 7KB
  211. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.srt 7KB
  212. 17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt 7KB
  213. 3/2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html 7KB
  214. 29/2. Running Your Computer Vision Web App on Flask Locally.html 7KB
  215. 21. TensorFlow Object Detection API/2. TFOD API Install and Setup.srt 7KB
  216. 7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.srt 6KB
  217. 19/4. The Intersection over Union (IoU) Metric.srt 6KB
  218. 13/3. Build AlexNet and test on CIFAR10.srt 6KB
  219. 10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.srt 6KB
  220. 6. Neural Networks Explained in Detail/12. Review and Best Practices.srt 6KB
  221. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.srt 6KB
  222. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.srt 6KB
  223. 19/2. What is Segmentation And Applications in Medical Imaging.srt 6KB
  224. 26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.srt 6KB
  225. 6. Neural Networks Explained in Detail/3. Neural Networks Explained.srt 6KB
  226. 4/4. OpenCV Demo – Live Sketch with Webcam.srt 5KB
  227. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.srt 5KB
  228. 7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.srt 5KB
  229. 20. Principles of Object Detection/5. YOLO to YOLOv3.srt 5KB
  230. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.srt 5KB
  231. 24/3. Mathematics of GANs.srt 5KB
  232. 29/1. Install and Run Flask.html 5KB
  233. 19/3. U-Net Image Segmentation with CNNs.srt 5KB
  234. 9/5. Heat Map Visualizations of Class Activations.srt 5KB
  235. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.srt 5KB
  236. 6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.srt 5KB
  237. 29/3. Running Your Computer Vision API.html 5KB
  238. 29/7. Using FileZilla to transfer files to your EC2 Instance.html 5KB
  239. 27. BONUS - Build a Credit Card Number Reader/2. Step 2 - Training Our Model.html 5KB
  240. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.srt 5KB
  241. 26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.srt 5KB
  242. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.srt 5KB
  243. 13/2. Build LeNet and test on MNIST.srt 4KB
  244. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.srt 4KB
  245. 4/3. Experiment with a Image Classifier.srt 4KB
  246. 13/4. Batch Normalization.srt 4KB
  247. 7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.srt 4KB
  248. 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 4KB
  249. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.srt 4KB
  250. 17. Advanced Activation Functions and Initializations/3. Advanced Initializations.srt 4KB
  251. 14/5. Understanding InceptionV3.srt 4KB
  252. 3/3. Optional - Manual Setup of Ubuntu Virtual Machine.html 4KB
  253. 26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.srt 3KB
  254. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.srt 3KB
  255. 7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.srt 3KB
  256. 29/9. Running your CV API on EC2.html 3KB
  257. 3/4. Optional - Setting up a shared drive with your Host OS.html 3KB
  258. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.srt 3KB
  259. 20. Principles of Object Detection/4. Single Shot Detectors (SSDs).srt 3KB
  260. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.srt 3KB
  261. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.srt 3KB
  262. 29/8. Running your CV Web App on EC2.html 2KB
  263. 7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.srt 2KB
  264. 14/3. Understanding VGG16 and VGG19.srt 2KB
  265. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.srt 2KB
  266. 6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.srt 2KB
  267. 14/4. Understanding ResNet50.srt 2KB
  268. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.srt 2KB
  269. 29/4. Setting Up An AWS Account.html 2KB
  270. 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/31. Circle Detection.html 2KB
  271. 29/6. Changing your EC2 Security Group.html 2KB
  272. 26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.srt 2KB
  273. 10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.srt 1KB
  274. 7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.srt 1KB
  275. 9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt 1KB
  276. 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.srt 1KB
  277. 18/1. Chapter Introduction.srt 1KB
  278. 24/1. Generative Adverserial Neural Networks Chapter Overview.srt 1KB
  279. 20. Principles of Object Detection/1. Chapter Introduction.srt 1KB
  280. 25. Face Recognition with VGGFace/2. Face Matching with VGGFace.html 1KB
  281. 26. The Computer Vision World/1. Chapter Introduction.srt 1KB
  282. 12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt 1KB
  283. 25. Face Recognition with VGGFace/1. Basic Face Recognition using LittleVGG CNN.html 997B
  284. 11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt 917B
  285. 4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.srt 900B
  286. 19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt 891B
  287. 2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.srt 863B
  288. 13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt 860B
  289. 14/1. Chapter Introduction.srt 856B
  290. 15/1. Chapter Introduction.srt 813B
  291. 21. TensorFlow Object Detection API/1. Chapter Introduction.srt 765B
  292. 17. Advanced Activation Functions and Initializations/1. Chapter Introduction.srt 659B
  293. 22/1. Chapter Introduction.srt 658B
  294. 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.srt 636B
  295. 23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.srt 496B
  296. 25. Face Recognition with VGGFace/3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html 441B
  297. 3/1.1 Download Your Deep Learning Virtual Machine HERE.html 143B
  298. [Tutorialsplanet.NET].url 128B
  299. 22/2.1 Guide to the MacOS Install.html 124B
  300. 21. TensorFlow Object Detection API/2.1 Download the code (for those not using the Virtual Machine).html 108B
  301. 22/2.2 Download the YOLO files (if not using the VM).html 108B
  302. 3/1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html 108B