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[ DevCourseWeb.com ] Udemy - Convolution Neural Network with Data Augmentation

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种子名称: [ DevCourseWeb.com ] Udemy - Convolution Neural Network with Data Augmentation
文件类型: 视频
文件数目: 31个文件
文件大小: 693.39 MB
收录时间: 2022-4-15 22:05
已经下载: 3
资源热度: 140
最近下载: 2024-5-29 14:36

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[ DevCourseWeb.com ] Udemy - Convolution Neural Network with Data Augmentation.torrent
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp452.17MB
  • ~Get Your Files Here !/1. Introduction/1.1 Part1.mp423.53MB
  • ~Get Your Files Here !/1. Introduction/2. Introduction Part2.mp423.29MB
  • ~Get Your Files Here !/1. Introduction/3. Flatten.mp411.06MB
  • ~Get Your Files Here !/10. Popular CNN Architectures/1. LeNET.mp416.42MB
  • ~Get Your Files Here !/10. Popular CNN Architectures/2. AlexNET.mp429.09MB
  • ~Get Your Files Here !/10. Popular CNN Architectures/3. GoogLeNet.mp446.67MB
  • ~Get Your Files Here !/10. Popular CNN Architectures/4. Resnet.mp434.9MB
  • ~Get Your Files Here !/11. Object Detection/1. Object Detection Introduction and History.mp414.1MB
  • ~Get Your Files Here !/11. Object Detection/2. Histogram of Gradients (HoGs).mp430.14MB
  • ~Get Your Files Here !/11. Object Detection/3. Applications of Object Detection, Algorithm of OD and Localization.mp413.92MB
  • ~Get Your Files Here !/12. Practical Exercises/1. MNIST Case Study - Number Classification.mp454.4MB
  • ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/1. Kernel, Depth, Stride and Padding.mp457.19MB
  • ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/2. Pooling Layer.mp435.28MB
  • ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/1. Condition 1 - No Stride and No Padding.mp47.4MB
  • ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/2. Condition 2 - Padding.mp45.43MB
  • ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/3. Condition 3 - Padding and Stride.mp44.54MB
  • ~Get Your Files Here !/4. CNN Architectures/1. CNN Architectures.mp410.61MB
  • ~Get Your Files Here !/5. Dropout Layer/1. Dropout Layer.mp427.38MB
  • ~Get Your Files Here !/6. Practical Exercise/1. Practical Exercise 1.mp420.41MB
  • ~Get Your Files Here !/6. Practical Exercise/2. Practical Exercise 2.mp469.46MB
  • ~Get Your Files Here !/7. Training CNN/1. Training CNN - Introduction.mp47.51MB
  • ~Get Your Files Here !/7. Training CNN/2. Activation Layers & ReLU.mp44.2MB
  • ~Get Your Files Here !/7. Training CNN/3. Softmax Activation Layer.mp44.82MB
  • ~Get Your Files Here !/7. Training CNN/4. Pooling Layer.mp43.65MB
  • ~Get Your Files Here !/7. Training CNN/5. Fully Connected Layer.mp43.03MB
  • ~Get Your Files Here !/8. Designing CNN/1. Designing CNN.mp49.4MB
  • ~Get Your Files Here !/9. Data Augmentation/1. Data Augmentation.mp44.36MB
  • ~Get Your Files Here !/9. Data Augmentation/2. Research Paper 1.mp421.03MB
  • ~Get Your Files Here !/9. Data Augmentation/3. Research Paper 2.mp424.05MB
  • ~Get Your Files Here !/9. Data Augmentation/4. Research Paper 3.mp423.95MB