[FreeCourseLab.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs - 2048BT - 全球最新最全bt种子资源在线搜索库，实时索引全球磁力链接资源

BT种子名称

分享给好友

BT种子基本信息

种子哈希：d8ce2b5ccb4d967349130cb990022c372b67804d
文档大小：4.7 GB
文档个数：161个文档
下载次数：5041次
下载速度：极快
收录时间：2020-02-24
最近下载：2024-10-08
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:D8CE2B5CCB4D967349130CB990022C372B67804D
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、PIKPAK等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码含羞草 51品茶 91视频逼哩逼哩欲漫涩草榴社区抖阴破解版成人快手暗网禁区缅北禁地 TikTok成人版暗网解密

[FreeCourseLab.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs的二维码

文档列表

6. Module 2 - Object Detection with SSD/11.1 Training_SSD.zip.zip 2.9 GB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/3.1 Homework.zip.zip 127.2 MB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/2. Homework Challenge - Solution (Video).mp4 65.1 MB
4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).mp4 52.2 MB
6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.mp4 51.6 MB
6. Module 2 - Object Detection with SSD/9. Object Detection - Step 9.mp4 48.8 MB
9. Module 3 - Image Creation with GANs/9. GANs - Step 9.mp4 46.9 MB
2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.mp4 45.8 MB
11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 44.8 MB
11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.mp4 42.2 MB
9. Module 3 - Image Creation with GANs/5. GANs - Step 5.mp4 41.3 MB
9. Module 3 - Image Creation with GANs/2. GANs - Step 2.mp4 41.1 MB
9. Module 3 - Image Creation with GANs/12. GANs - Step 12.mp4 39.4 MB
6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.mp4 37.7 MB
3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).mp4 36.1 MB
6. Module 2 - Object Detection with SSD/6. Object Detection - Step 6.mp4 35.8 MB
11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 34.8 MB
9. Module 3 - Image Creation with GANs/1. GANs - Step 1.mp4 32.9 MB
10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.mp4 32.8 MB
11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4 32.5 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/6. Applications of GANs.mp4 32.1 MB
2. Module 1 - Face Detection Intuition/4. Haar-like Features.mp4 32.1 MB
10. Annex 1 Artificial Neural Networks/3. The Neuron.mp4 31.0 MB
11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.mp4 30.9 MB
2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).mp4 30.3 MB
5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.mp4 28.4 MB
5. Module 2 - Object Detection Intuition/5. The Scale Problem.mp4 28.1 MB
10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.mp4 27.9 MB
5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.mp4 26.6 MB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/1.1 epic_horses.mp4.mp4 25.9 MB
3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.mp4 25.5 MB
5. Module 2 - Object Detection Intuition/2. How SSD is different.mp4 24.9 MB
10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.mp4 24.7 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/3. How Do GANs Work (Step 1).mp4 24.3 MB
1. Introduction/1. Welcome to the Course!.mp4 23.0 MB
2. Module 1 - Face Detection Intuition/6. Training Classifiers.mp4 21.9 MB
2. Module 1 - Face Detection Intuition/5. Integral Image.mp4 21.4 MB
2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.mp4 19.5 MB
10. Annex 1 Artificial Neural Networks/7. Gradient Descent.mp4 19.4 MB
9. Module 3 - Image Creation with GANs/8. GANs - Step 8.mp4 19.2 MB
10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.mp4 17.6 MB
6. Module 2 - Object Detection with SSD/4. Object Detection - Step 4.mp4 16.9 MB
3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.mp4 16.5 MB
10. Annex 1 Artificial Neural Networks/4. The Activation Function.mp4 15.5 MB
11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4 14.8 MB
6. Module 2 - Object Detection with SSD/3. Object Detection - Step 3.mp4 13.7 MB
9. Module 3 - Image Creation with GANs/11. GANs - Step 11.mp4 13.3 MB
2. Module 1 - Face Detection Intuition/8. Cascading.mp4 12.6 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/2. The Idea Behind GANs.mp4 12.4 MB
3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.mp4 12.4 MB
6. Module 2 - Object Detection with SSD/7. Object Detection - Step 7.mp4 12.1 MB
9. Module 3 - Image Creation with GANs/6. GANs - Step 6.mp4 11.8 MB
10. Annex 1 Artificial Neural Networks/9. Backpropagation.mp4 11.5 MB
9. Module 3 - Image Creation with GANs/3. GANs - Step 3.mp4 10.7 MB
6. Module 2 - Object Detection with SSD/5. Object Detection - Step 5.mp4 10.2 MB
3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.mp4 10.1 MB
3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.mp4 10.0 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/4. How Do GANs Work (Step 2).mp4 9.9 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/5. How Do GANs Work (Step 3).mp4 9.7 MB
3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.mp4 9.7 MB
6. Module 2 - Object Detection with SSD/2. Object Detection - Step 2.mp4 9.7 MB
9. Module 3 - Image Creation with GANs/4. GANs - Step 4.mp4 8.8 MB
11. Annex 2 Convolutional Neural Networks/8. Summary.mp4 8.3 MB
6. Module 2 - Object Detection with SSD/8. Object Detection - Step 8.mp4 8.2 MB
3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.mp4 7.2 MB
11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.mp4 6.2 MB
9. Module 3 - Image Creation with GANs/14. Special Thanks to Alexis Jacq.mp4 5.6 MB
9. Module 3 - Image Creation with GANs/7. GANs - Step 7.mp4 5.3 MB
9. Module 3 - Image Creation with GANs/10. GANs - Step 10.mp4 5.2 MB
10. Annex 1 Artificial Neural Networks/2. Plan of Attack.mp4 5.0 MB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/1. Plan of Attack.mp4 4.9 MB
5. Module 2 - Object Detection Intuition/1. Plan of attack.mp4 3.7 MB
11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.mp4 3.4 MB
2. Module 1 - Face Detection Intuition/1. Plan of attack.mp4 2.5 MB
4. Homework Challenge - Build a Happiness Detector/3.1 Homework.zip.zip 222.0 kB
3. Module 1 - Face Detection with OpenCV/3.1 Debug Solutions.pdf.pdf 130.8 kB
11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.vtt 25.7 kB
9. Module 3 - Image Creation with GANs/9. GANs - Step 9.vtt 25.2 kB
4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).vtt 23.8 kB
11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.vtt 22.7 kB
9. Module 3 - Image Creation with GANs/5. GANs - Step 5.vtt 22.6 kB
10. Annex 1 Artificial Neural Networks/3. The Neuron.vtt 22.4 kB
9. Module 3 - Image Creation with GANs/2. GANs - Step 2.vtt 22.2 kB
6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.vtt 21.3 kB
6. Module 2 - Object Detection with SSD/6. Object Detection - Step 6.vtt 21.2 kB
11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.vtt 20.9 kB
11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.vtt 19.8 kB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/2. Homework Challenge - Solution (Video).vtt 19.5 kB
3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).vtt 19.5 kB
2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).vtt 19.4 kB
11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.vtt 18.8 kB
2. Module 1 - Face Detection Intuition/4. Haar-like Features.vtt 18.8 kB
10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.vtt 17.2 kB
10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.vtt 16.9 kB
9. Module 3 - Image Creation with GANs/12. GANs - Step 12.vtt 16.7 kB
6. Module 2 - Object Detection with SSD/9. Object Detection - Step 9.vtt 16.4 kB
10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.vtt 16.3 kB
5. Module 2 - Object Detection Intuition/5. The Scale Problem.vtt 15.5 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/3. How Do GANs Work (Step 1).vtt 15.4 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/6. Applications of GANs.vtt 15.0 kB
2. Module 1 - Face Detection Intuition/6. Training Classifiers.vtt 14.2 kB
2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.vtt 13.5 kB
3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.vtt 13.3 kB
2. Module 1 - Face Detection Intuition/5. Integral Image.vtt 13.3 kB
5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.vtt 13.2 kB
5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.vtt 12.6 kB
10. Annex 1 Artificial Neural Networks/7. Gradient Descent.vtt 12.6 kB
6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.vtt 12.0 kB
9. Module 3 - Image Creation with GANs/1. GANs - Step 1.vtt 11.9 kB
5. Module 2 - Object Detection Intuition/2. How SSD is different.vtt 11.3 kB
9. Module 3 - Image Creation with GANs/8. GANs - Step 8.vtt 11.2 kB
10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.vtt 11.0 kB
10. Annex 1 Artificial Neural Networks/4. The Activation Function.vtt 10.8 kB
6. Module 2 - Object Detection with SSD/4. Object Detection - Step 4.vtt 10.7 kB
6. Module 2 - Object Detection with SSD/3. Object Detection - Step 3.vtt 9.2 kB
3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.vtt 8.8 kB
2. Module 1 - Face Detection Intuition/8. Cascading.vtt 8.3 kB
11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.vtt 8.3 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/2. The Idea Behind GANs.vtt 8.2 kB
9. Module 3 - Image Creation with GANs/11. GANs - Step 11.vtt 7.9 kB
3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.vtt 7.3 kB
3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.vtt 7.0 kB
6. Module 2 - Object Detection with SSD/7. Object Detection - Step 7.vtt 7.0 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/4. How Do GANs Work (Step 2).vtt 6.7 kB
9. Module 3 - Image Creation with GANs/6. GANs - Step 6.vtt 6.7 kB
6. Module 2 - Object Detection with SSD/5. Object Detection - Step 5.vtt 6.5 kB
6. Module 2 - Object Detection with SSD/2. Object Detection - Step 2.vtt 6.5 kB
10. Annex 1 Artificial Neural Networks/9. Backpropagation.vtt 6.5 kB
3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.vtt 6.2 kB
3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.vtt 6.0 kB
9. Module 3 - Image Creation with GANs/3. GANs - Step 3.vtt 6.0 kB
11. Annex 2 Convolutional Neural Networks/8. Summary.vtt 5.5 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/5. How Do GANs Work (Step 3).vtt 5.3 kB
9. Module 3 - Image Creation with GANs/4. GANs - Step 4.vtt 4.9 kB
6. Module 2 - Object Detection with SSD/8. Object Detection - Step 8.vtt 4.8 kB
11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.vtt 4.7 kB
3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.vtt 4.6 kB
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/1. Plan of Attack.vtt 3.7 kB
10. Annex 1 Artificial Neural Networks/2. Plan of Attack.vtt 3.6 kB
9. Module 3 - Image Creation with GANs/7. GANs - Step 7.vtt 3.5 kB
9. Module 3 - Image Creation with GANs/14. Special Thanks to Alexis Jacq.vtt 3.1 kB
2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.vtt 3.0 kB
9. Module 3 - Image Creation with GANs/10. GANs - Step 10.vtt 2.8 kB
5. Module 2 - Object Detection Intuition/1. Plan of attack.vtt 2.5 kB
11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.vtt 2.3 kB
2. Module 1 - Face Detection Intuition/1. Plan of attack.vtt 1.8 kB
1. Introduction/1. Welcome to the Course!.vtt 1.7 kB
4. Homework Challenge - Build a Happiness Detector/1. Homework Challenge - Instructions.html 1.3 kB
1. Introduction/2. Some Additional Resources!!.html 656 Bytes
6. Module 2 - Object Detection with SSD/11. Training the SSD.html 571 Bytes
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/1. Homework Challenge - Instructions.html 439 Bytes
3. Module 1 - Face Detection with OpenCV/3. Common Debug Tips.html 308 Bytes
4. Homework Challenge - Build a Happiness Detector/3. Homework Challenge - Solution (Code files).html 127 Bytes
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/3. Homework Challenge - Solution (Code files).html 127 Bytes
[FreeCourseLab.com].url 126 Bytes
2. Module 1 - Face Detection Intuition/9. Face Detection Intuition.html 125 Bytes
3. Module 1 - Face Detection with OpenCV/10. Face Detection with OpenCV.html 125 Bytes
5. Module 2 - Object Detection Intuition/6. Object Detection Intuition.html 125 Bytes
6. Module 2 - Object Detection with SSD/12. Object Detection with SSD.html 125 Bytes
8. Module 3 - Generative Adversarial Networks (GANs) Intuition/7. Generative Adversarial Networks (GANs) Intuition.html 125 Bytes
9. Module 3 - Image Creation with GANs/13. Image Creation with GANs.html 125 Bytes

==查看完整文档列表==

上一个：Lucy Gresty EU 49 - British big breasted housewife Lucy Gresty playing with herself.1920x1080.mp41.9 GB
下一个：[ThZu.Cc]fc2ppv_1180558 2.8 GB

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

2048BT

BT种子名称

[FreeCourseLab.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

分享给好友

BT种子基本信息

下载磁力链接

下载BT种子

文档列表

猜你喜欢

种子标签

种子评价

最近搜索

人气女优

最新番号

分享BT种子/磁力链接

友情链接