[ ] Udemy - Convolution Neural Network with Data Augmentation
- 收录时间:2022-02-22 02:21:52
- 文件大小:694MB
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- 最近下载:2022-02-22 02:21:52
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文件列表
- ~Get Your Files Here !/6. Practical Exercise/2. Practical Exercise 2.mp4 69MB
- ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/1. Kernel, Depth, Stride and Padding.mp4 57MB
- ~Get Your Files Here !/12. Practical Exercises/1. MNIST Case Study - Number Classification.mp4 54MB
- ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 52MB
- ~Get Your Files Here !/10. Popular CNN Architectures/3. GoogLeNet.mp4 47MB
- ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/2. Pooling Layer.mp4 35MB
- ~Get Your Files Here !/10. Popular CNN Architectures/4. Resnet.mp4 35MB
- ~Get Your Files Here !/11. Object Detection/2. Histogram of Gradients (HoGs).mp4 30MB
- ~Get Your Files Here !/10. Popular CNN Architectures/2. AlexNET.mp4 29MB
- ~Get Your Files Here !/5. Dropout Layer/1. Dropout Layer.mp4 27MB
- ~Get Your Files Here !/9. Data Augmentation/3. Research Paper 2.mp4 24MB
- ~Get Your Files Here !/9. Data Augmentation/4. Research Paper 3.mp4 24MB
- ~Get Your Files Here !/1. Introduction/1.1 Part1.mp4 24MB
- ~Get Your Files Here !/1. Introduction/2. Introduction Part2.mp4 23MB
- ~Get Your Files Here !/9. Data Augmentation/2. Research Paper 1.mp4 21MB
- ~Get Your Files Here !/6. Practical Exercise/1. Practical Exercise 1.mp4 20MB
- ~Get Your Files Here !/10. Popular CNN Architectures/1. LeNET.mp4 16MB
- ~Get Your Files Here !/11. Object Detection/1. Object Detection Introduction and History.mp4 14MB
- ~Get Your Files Here !/11. Object Detection/3. Applications of Object Detection, Algorithm of OD and Localization.mp4 14MB
- ~Get Your Files Here !/1. Introduction/3. Flatten.mp4 11MB
- ~Get Your Files Here !/4. CNN Architectures/1. CNN Architectures.mp4 11MB
- ~Get Your Files Here !/8. Designing CNN/1. Designing CNN.mp4 9MB
- ~Get Your Files Here !/7. Training CNN/1. Training CNN - Introduction.mp4 8MB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/1. Condition 1 - No Stride and No Padding.mp4 7MB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/2. Condition 2 - Padding.mp4 5MB
- ~Get Your Files Here !/7. Training CNN/3. Softmax Activation Layer.mp4 5MB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/3. Condition 3 - Padding and Stride.mp4 5MB
- ~Get Your Files Here !/9. Data Augmentation/1. Data Augmentation.mp4 4MB
- ~Get Your Files Here !/7. Training CNN/2. Activation Layers & ReLU.mp4 4MB
- ~Get Your Files Here !/7. Training CNN/4. Pooling Layer.mp4 4MB
- ~Get Your Files Here !/7. Training CNN/5. Fully Connected Layer.mp4 3MB
- ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/1. Kernel, Depth, Stride and Padding.srt 19KB
- ~Get Your Files Here !/6. Practical Exercise/2. Practical Exercise 2.srt 11KB
- ~Get Your Files Here !/1. Introduction/1. Introduction.srt 11KB
- ~Get Your Files Here !/10. Popular CNN Architectures/3. GoogLeNet.srt 10KB
- ~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/2. Pooling Layer.srt 9KB
- ~Get Your Files Here !/10. Popular CNN Architectures/4. Resnet.srt 9KB
- ~Get Your Files Here !/5. Dropout Layer/1. Dropout Layer.srt 8KB
- ~Get Your Files Here !/12. Practical Exercises/1. MNIST Case Study - Number Classification.srt 7KB
- ~Get Your Files Here !/10. Popular CNN Architectures/2. AlexNET.srt 7KB
- ~Get Your Files Here !/1. Introduction/2. Introduction Part2.srt 6KB
- ~Get Your Files Here !/10. Popular CNN Architectures/1. LeNET.srt 5KB
- ~Get Your Files Here !/11. Object Detection/2. Histogram of Gradients (HoGs).srt 4KB
- ~Get Your Files Here !/6. Practical Exercise/1. Practical Exercise 1.srt 4KB
- ~Get Your Files Here !/4. CNN Architectures/1. CNN Architectures.srt 3KB
- ~Get Your Files Here !/8. Designing CNN/1. Designing CNN.srt 3KB
- ~Get Your Files Here !/11. Object Detection/3. Applications of Object Detection, Algorithm of OD and Localization.srt 3KB
- ~Get Your Files Here !/1. Introduction/3. Flatten.srt 3KB
- ~Get Your Files Here !/11. Object Detection/1. Object Detection Introduction and History.srt 3KB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/1. Condition 1 - No Stride and No Padding.srt 2KB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/2. Condition 2 - Padding.srt 2KB
- ~Get Your Files Here !/9. Data Augmentation/4. Research Paper 3.srt 2KB
- ~Get Your Files Here !/7. Training CNN/1. Training CNN - Introduction.srt 2KB
- ~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/3. Condition 3 - Padding and Stride.srt 2KB
- ~Get Your Files Here !/9. Data Augmentation/3. Research Paper 2.srt 2KB
- ~Get Your Files Here !/9. Data Augmentation/1. Data Augmentation.srt 2KB
- ~Get Your Files Here !/9. Data Augmentation/2. Research Paper 1.srt 2KB
- ~Get Your Files Here !/7. Training CNN/2. Activation Layers & ReLU.srt 2KB
- ~Get Your Files Here !/7. Training CNN/3. Softmax Activation Layer.srt 1KB
- ~Get Your Files Here !/7. Training CNN/4. Pooling Layer.srt 1KB
- ~Get Your Files Here !/7. Training CNN/5. Fully Connected Layer.srt 903B
- ~Get Your Files Here !/Bonus Resources.txt 386B
- Get Bonus Downloads Here.url 182B