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

Creation Time	Dec. 18, 2023, 11:24 p.m.
Last Access Time	Oct. 9, 2024, 7:59 a.m.
File Size	693.5 MB
Keywords	Convolution Neural with - Udemy DevCourseWeb Augmentation com Data Network
Total Requests	15
Total Files	63
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~Get Your Files Here !/6. Practical Exercise/2. Practical Exercise 2.mp4 69.5 MB
~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/1. Kernel, Depth, Stride and Padding.mp4 57.2 MB
~Get Your Files Here !/12. Practical Exercises/1. MNIST Case Study - Number Classification.mp4 54.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 52.2 MB
~Get Your Files Here !/10. Popular CNN Architectures/3. GoogLeNet.mp4 46.7 MB
~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/2. Pooling Layer.mp4 35.3 MB
~Get Your Files Here !/10. Popular CNN Architectures/4. Resnet.mp4 34.9 MB
~Get Your Files Here !/11. Object Detection/2. Histogram of Gradients (HoGs).mp4 30.1 MB
~Get Your Files Here !/10. Popular CNN Architectures/2. AlexNET.mp4 29.1 MB
~Get Your Files Here !/5. Dropout Layer/1. Dropout Layer.mp4 27.4 MB
~Get Your Files Here !/9. Data Augmentation/3. Research Paper 2.mp4 24.0 MB
~Get Your Files Here !/9. Data Augmentation/4. Research Paper 3.mp4 23.9 MB
~Get Your Files Here !/1. Introduction/1.1 Part1.mp4 23.5 MB
~Get Your Files Here !/1. Introduction/2. Introduction Part2.mp4 23.3 MB
~Get Your Files Here !/9. Data Augmentation/2. Research Paper 1.mp4 21.0 MB
~Get Your Files Here !/6. Practical Exercise/1. Practical Exercise 1.mp4 20.4 MB
~Get Your Files Here !/10. Popular CNN Architectures/1. LeNET.mp4 16.4 MB
~Get Your Files Here !/11. Object Detection/1. Object Detection Introduction and History.mp4 14.1 MB
~Get Your Files Here !/11. Object Detection/3. Applications of Object Detection, Algorithm of OD and Localization.mp4 13.9 MB
~Get Your Files Here !/1. Introduction/3. Flatten.mp4 11.1 MB
~Get Your Files Here !/4. CNN Architectures/1. CNN Architectures.mp4 10.6 MB
~Get Your Files Here !/8. Designing CNN/1. Designing CNN.mp4 9.4 MB
~Get Your Files Here !/7. Training CNN/1. Training CNN - Introduction.mp4 7.5 MB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/1. Condition 1 - No Stride and No Padding.mp4 7.4 MB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/2. Condition 2 - Padding.mp4 5.4 MB
~Get Your Files Here !/7. Training CNN/3. Softmax Activation Layer.mp4 4.8 MB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/3. Condition 3 - Padding and Stride.mp4 4.5 MB
~Get Your Files Here !/9. Data Augmentation/1. Data Augmentation.mp4 4.4 MB
~Get Your Files Here !/7. Training CNN/2. Activation Layers & ReLU.mp4 4.2 MB
~Get Your Files Here !/7. Training CNN/4. Pooling Layer.mp4 3.7 MB
~Get Your Files Here !/7. Training CNN/5. Fully Connected Layer.mp4 3.0 MB
~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/1. Kernel, Depth, Stride and Padding.srt 18.5 KB
~Get Your Files Here !/6. Practical Exercise/2. Practical Exercise 2.srt 11.2 KB
~Get Your Files Here !/1. Introduction/1. Introduction.srt 11.1 KB
~Get Your Files Here !/10. Popular CNN Architectures/3. GoogLeNet.srt 10.3 KB
~Get Your Files Here !/2. Kernel, Depth, Stride, Padding and Pooling Layer/2. Pooling Layer.srt 9.4 KB
~Get Your Files Here !/10. Popular CNN Architectures/4. Resnet.srt 9.2 KB
~Get Your Files Here !/5. Dropout Layer/1. Dropout Layer.srt 7.7 KB
~Get Your Files Here !/12. Practical Exercises/1. MNIST Case Study - Number Classification.srt 7.3 KB
~Get Your Files Here !/10. Popular CNN Architectures/2. AlexNET.srt 7.3 KB
~Get Your Files Here !/1. Introduction/2. Introduction Part2.srt 6.0 KB
~Get Your Files Here !/10. Popular CNN Architectures/1. LeNET.srt 5.4 KB
~Get Your Files Here !/11. Object Detection/2. Histogram of Gradients (HoGs).srt 4.4 KB
~Get Your Files Here !/6. Practical Exercise/1. Practical Exercise 1.srt 3.9 KB
~Get Your Files Here !/4. CNN Architectures/1. CNN Architectures.srt 3.4 KB
~Get Your Files Here !/8. Designing CNN/1. Designing CNN.srt 3.3 KB
~Get Your Files Here !/11. Object Detection/3. Applications of Object Detection, Algorithm of OD and Localization.srt 3.0 KB
~Get Your Files Here !/1. Introduction/3. Flatten.srt 2.9 KB
~Get Your Files Here !/11. Object Detection/1. Object Detection Introduction and History.srt 2.6 KB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/1. Condition 1 - No Stride and No Padding.srt 2.4 KB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/2. Condition 2 - Padding.srt 2.3 KB
~Get Your Files Here !/9. Data Augmentation/4. Research Paper 3.srt 2.3 KB
~Get Your Files Here !/7. Training CNN/1. Training CNN - Introduction.srt 2.3 KB
~Get Your Files Here !/3. Relationship between Input Layer and Output Layer/3. Condition 3 - Padding and Stride.srt 2.1 KB
~Get Your Files Here !/9. Data Augmentation/3. Research Paper 2.srt 2.0 KB
~Get Your Files Here !/9. Data Augmentation/1. Data Augmentation.srt 1.9 KB
~Get Your Files Here !/9. Data Augmentation/2. Research Paper 1.srt 1.8 KB
~Get Your Files Here !/7. Training CNN/2. Activation Layers & ReLU.srt 1.7 KB
~Get Your Files Here !/7. Training CNN/3. Softmax Activation Layer.srt 1.5 KB
~Get Your Files Here !/7. Training CNN/4. Pooling Layer.srt 1.4 KB
~Get Your Files Here !/7. Training CNN/5. Fully Connected Layer.srt 903 bytes
~Get Your Files Here !/Bonus Resources.txt 386 bytes
Get Bonus Downloads Here.url 182 bytes

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

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