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Machine Learning
2,057,362 Views · 4 years ago

Generative AI
2,060,667 Views · 4 years ago

Ultimate Wild Animals Collection in 8K ULTRA HD / 8K TV
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Generative AI
2,554,849 Views · 4 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "Simple DevOps Projects for Beginners - Part 1" video will help you in developing 3 simple projects. Here you will be working on the concepts of Continuous Integration, Continuous Delivery & Deployment. Two technologies in particular that the session surrounds itself around are Jenkins and Docker.
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What will you learn as a part of this DevOps course?

This DevOps training course is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various DevOps tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.

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Generative AI
2,570,993 Views · 4 years ago

I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6

In this video we implement WGAN and WGAN-GP in PyTorch. Both of these improvements are based on the loss function of GANs and focused specifically on improving the stability of training.

Resources and papers:
https://www.alexirpan.com/2017..../02/22/wasserstein-g
https://arxiv.org/abs/1701.07875
https://arxiv.org/abs/1704.00028

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

GAN Playlist:
https://youtube.com/playlist?l....ist=PLhhyoLH6IjfwIp8

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

OUTLINE:
0:00 - Introduction
0:27 - Understanding WGAN
6:53 - WGAN Implementation details
9:15 - Coding WGAN
15:50 - Understanding WGAN-GP
18:48 - Coding WGAN-GP
25:29 - Ending




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