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Download /[FreeTutorials.Us] Udemy - Deep Learning Computer Vision/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/1.1 CVApiWebAPp.tar.gz.gz

FreeTutorials Us Udemy Deep Learning Computer Vision

29 BONUS Create Computer Vision API Web App Using Flask and AWS CVApiWebAPp tar gz

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[FreeTutorials.Us] Udemy - Deep Learning Computer Vision

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11.8 GB

Total Files

358

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2025-07-16 23:38

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EBFE716FA9CE7B29070D26DFC0642D4EE4A11745

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/1.1 CVApiWebAPp.tar.gz.gz

8.1 MB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/1. Install and Run Flask.html

5.1 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/4. Setting Up An AWS Account.html

1.8 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/9. Running your CV API on EC2.html

3.2 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/8. Running your CV Web App on EC2.html

2.5 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/3. Running Your Computer Vision API.html

4.9 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/6. Changing your EC2 Security Group.html

1.6 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/2. Running Your Computer Vision Web App on Flask Locally.html

6.8 KB

/29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS/7. Using FileZilla to transfer files to your EC2 Instance.html

4.8 KB

/28. BONUS - Use Cloud GPUs on PaperSpace/2. Train a AlexNet on PaperSpace.html

7.1 KB

/2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4

73.8 MB

/2. Introduction to Computer Vision & Deep Learning/3. What are Images.vtt

9.5 KB

/28. BONUS - Use Cloud GPUs on PaperSpace/2.1 AlexNet CIFAR10.zip.zip

30.3 KB

/26. The Computer Vision World/1. Chapter Introduction.mp4

4.2 MB

/26. The Computer Vision World/1. Chapter Introduction.vtt

0.9 KB

 

Showing first 15 files of 358 total files


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