An in-depth guide to tensorboard with examples in plotting loss functions, accuracy, hyperparameter search, image visualization, weight visualization as well as tensorboards visual embedding or projector.

The functions we look at from Pytorchs tensorboard are add_scalar, add_image, add_histogram, add_embedding and add_hparams.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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

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


OUTLINE:
0:00 - Introduction
2:08 - Initializing SummaryWriter
2:55 - Creating a loss and accuracy plot
5:40 - Doing Hyperparameter search
16:36 - Visualizing Dataset Images and Network Weights
20:55 - Tensorboard Embedding Projector

Despite being homemade, this DIY projector packs a punch! Also, the first 1000 people to use this link will get a 2 month free trial of Skillshare Premium Membership: https://skl.sh/diyperks3


If you enjoy project build guides like this, please consider supporting my work on Patreon: http://www.patreon.com/diyperks


The PDF guide is now available over on the Patreon page: http://www.patreon.com/diyperks


Here are the main components required for this build:


Aluminium: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Daluminium%2Bsheet


Threaded rods: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dm6%2Bthreaded%2Brods%2B1m



LED (choose 5600k for pure white): https://store.yujiintl.com/col....lections/led-cobs/pr


OR (cheaper, but larger diameter - choose 100w) https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F183184745144


 Heatsink: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dcpu%2Bheatsink%2B-laptop%2Btower


Power board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D250w%2BDC%2Bvoltage%2BLED%2Bconstant



Fresnel lenses: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D7%2Bdiy%2Bfresnel%2B2


LCD panel + control board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3DLCD%2Bmipi%2Bhdmi


4K LCD panel + control board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D5.5%2B3840%2B2160%2Bcuring


Large format camera lenses: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dlarge%2Bformat%2Blens%2B%26_sop%3D15




How to make your own front-surface mirror: https://www.youtube.com/watch?v=IaEaaeajCSI



Video on powering LEDs: https://youtu.be/Y06VHj1GvLI?t=609


OFFICIAL LINKS:
Support me on Patreon: https://www.patreon.com/DIYPerks/
Official Website: https://www.diyperks.com/
Discord: https://diyperks.com/discord-server/
Forums: https://diyperks.com/community/
Twitter: https://twitter.com/DIYPerks

MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World.
Source Code: http://pastebin.com/ZZmSNaHX
"NEAT" Paper: http://nn.cs.utexas.edu/downlo....ads/papers/stanley.e
Some relevant Wikipedia links:
https://en.wikipedia.org/wiki/Neuroevolution
https://en.wikipedia.org/wiki/....Evolutionary_algorit
https://en.wikipedia.org/wiki/....Artificial_neural_ne
BizHawk Emulator: http://tasvideos.org/BizHawk.html

SethBling Twitter: http://twitter.com/sethbling
SethBling Twitch: http://twitch.tv/sethbling
SethBling Facebook: http://facebook.com/sethbling
SethBling Website: http://sethbling.com
SethBling Shirts: http://sethbling.spreadshirt.com
Suggest Ideas: http://reddit.com/r/SethBlingSuggestions

Music at the end is Cipher by Kevin MacLeod

This video explains the Transformer architecture in a very detailed way, including most math formulas in the paper, and the neural network operations behind it. The Transformer is the foundation of many powerful language models like BERT, GPT3, RoBERTa, XLNET, ELECTRA, T5. Understanding how it works in detail might help you modify, optimize, or improve it in the way you want.


Connect
Linkedin https://www.linkedin.com/in/xue-yong-fu-955723a6/
Twitter https://twitter.com/home
Email [email protected]

0:00 - Intro
1:10 - Architecture overview
1:56 - Encoder
3:58 - Residual connection & layer normalization
6:59 - Decoder
11:14 - Attention mechanism
14:30 - Scaled dot-product attention
20:22 - Learned projection layers
26:32 - Multi-head attention
28-39 - Encoder-decoder attention
31:18 - Encoder self-attention
31:34 - Decoder self-attention
33:58 - Position-wise feedforward network
36:41 - Word embedding
39:34 - Positional encoding
47:37 - Why self-attention

What Is GPT-3 Series
https://www.youtube.com/playli....st?list=PLoS8jSwcU-c

Paper: Attention Is All You Need
https://arxiv.org/abs/1706.03762

Abstract
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best
performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.

𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been the buzzword for a while now. This yap lab was put on the throne 5 days after its release and has been changing the game ever since. Some people even say that 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 might just put google out of business.

Have you ever used 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 before? Leave us know in the comment about what you think of 𝐂𝐡𝐚𝐭𝐆𝐏𝐓. We want to hear your thoughts.

The following topics are covered in this 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 Tutorial video:
00:00 Introduction to ChatGPT
01:03 About OpenAI
01:40 What is ChatGPT
01:58 Risks of ChatGPT
02:18 How to use ChatGPT
03:10 ChatGPT Interface
05:12 Using prompts in ChatGPT
07:31 Tricking ChatGPT to give wrong answers!
08:00 Conversation threads in ChatGPT
08:46 Shopping List using ChatGPT
10:36 ChatGPT for Coding
12:35 Using ChatGPT for Writing Content
13:43 Conclusion

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou

⏩ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Business Intelligence Masters Program: http://bit.ly/3UZPqJz

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

#chatgpt #edureka #EdurekaChatGPT #chatgpttutorial #whatischatgpt #chatgptexplained #openai #ai

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐩𝐫𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 - https://www.edureka.co/spring-framework (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "Spring Interview Questions and Answers" tutorial video will help you to prepare yourself for Spring Framework Interviews. This tutorial is ideal for freshers as well as experienced also. Learn about the most important Spring Framework interview questions and answers and know what will set you apart in the interview process. This video helps you to learn following topics:
0:00 Introduction
00:0:25 Spring Framework in Market
00:01:27 Spring Framework Job Trends
00:03:22 Spring Interview Questions-General
00:09:47 Spring Interview Questions-Di/loC
00:16:04 Spring Interview Questions-DI/IOC
00:34:22 Spring Interview Questions-Beans
00:37:27 Spring Interview Questions-Annotations
00:39:54 Spring Interview Questions-Data Access
00:43:00 Spring Interview Questions-AOP
00:48:19 Spring Interview Questions-MVC

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/



Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/aws-certification-training (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "AWS DevOps Tutorial" will help you understand what is Continuous Integration and Continuous Deployment through the various tools & services of the AWS suite. This tutorial also explains how to achieve Continuous Integration & Deployment through AWS CodePipeline & EC2 through the means of a Hands-On session by the end of which you will learn how to deploy a demo application using AWS.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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If you're new to Linux, this beginner's course is for you. You'll learn many of the tools used every day by both Linux SysAdmins and the millions of people running Linux distributions like Ubuntu on their PCs. This course will teach you how to navigate Linux's Graphical User Interfaces and powerful command line tool ecosystem.

🔗 Linux Installation guide: https://courses.edx.org/asset-....v1:LinuxFoundationX+

✏️ Beau Carnes teaches this course.

🏗 The Linux Foundation provided a grant to make this course possible.

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:38) Chapter 1. Introduction to Linux Families
⌨️ (0:07:39) Chapter 2. Linux Philosophy and Concepts
⌨️ (0:16:37) Chapter 3. Linux Basics and System Startup
⌨️ (1:05:36) Chapter 4. Graphical Interface
⌨️ (1:34:29) Chapter 5. System Configuration from the Graphical Interface
⌨️ (2:04:27) Chapter 6. Common Applications
⌨️ (2:12:57) Chapter 7. Command Line Operations
⌨️ (3:25:50) Chapter 8. Finding Linux Documentation
⌨️ (3:36:53) Chapter 9. Processes
⌨️ (4:07:51) Chapter 10. File Operations
⌨️ (4:31:11) Chapter 11. Text Editors
⌨️ (4:49:25) Chapter 12. User Environment
⌨️ (5:13:32) Chapter 13. Manipulating Text
⌨️ (5:40:04) Chapter 14. Network Operations


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** RPA Training: https://www.edureka.co/robotic....-process-automation- **
This session on UiPath Studio will give you an overview of UiPath Studio and its components.
Below are the topics covered in the video:
1:00 What is RPA?
3:05 RPA Tools
3:35 Introduction To UiPath Studio
4:09 UiPath Studio Installation
6:35 Projects in UiPath
10:47 UiPath Studio Components
11:32 Ribbon Components
21:03 Activity Components
25:13 Demo

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How does it work?

1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

--------------------------------------------------------------------------------------

About the Robotic Process Automation Course

Edureka’s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named ‘UiPath’. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you will be able to automate real-world processes at the enterprise level such as Insurance Claims Processing, Accounts Payable / Purchase Orders Processing, Invoice Processing, Complaints Management, Customer Feedback Analysis, Employee Onboarding, Compliance Reporting, and many more.

--------------------------------------------------------------------------------------

What are the Objectives of our Robotic Process AutomationTraining?

After completing this course, you will be able to:

1. Know about Robotics Process Automation and their working
2. Assess the key considerations while designing an RPA solution
3. Work proficiently with the leading RPA tool ‘UiPath
4. Have practical knowledge on designing RPA solutions using UiPath
5. Perform Image and Text automation
6. Learn Data Manipulation using variables and arguments
7. Create automation with applications running in Virtual Environments
8. Debug and handle exceptions in workflow automation

-------------------------------------------------------------------------------------------------------

Why learn Robotic Process Automation?

Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of a wide variety of industries, hence reducing the time and increasing the output.
Some of the facts about RPA include:

1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025
2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore
3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million

-------------------------------------------------------------------------------------------------------

What are the pre-requisites for this course?

To master the concept of RPA, you need to have a basic understanding of :

1.Basic programming knowledge of using if/else and switch conditions
2.Logical thinking ability

Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.

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Get a brief introduction to " Lean Six Sigma " in just 8 Minutes and clear your doubts on lean six sigma. Watch complete video to learn more!
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In this video, we'll tell you everything you need to learn about Lean Six Sigma in 8 minutes! We'll be covering a number of major concepts like Lean and Six Sigma, to help you answer the question: What is Six Sigma? These concepts are also explained with detailed examples.
So, without further ado, let's get started with Lean Six Sigma!

Don't forget to take the quiz at 07:08!

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Learn to develop your organizational projects with the Lean Six Sigma Green Belt certification online program. Aligned to the IASSC exam, this online six sigma certification integrates lean and the DMAIC methodology with case studies to provide you the skills required for an organization's growth.

About Simplilearn SIx Sigma green belt course:
This Lean Six Sigma Green Belt course provides an overview of Six Sigma and the DMAIC methodology and is aligned to the leading Green Belt certifications at ASQ and IASSC. In this Lean Six Sigma Green Belt course, you will learn how to measure current performance to identify process issues and how to formulate solutions.

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- 56 hours of high-quality blended learning
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Hi, thanks for watching our video about training large language models on PyTorch 2.0
In this video we’ll walk you through:
- GPT4
- GPU
- Multimodal
- LLM
- Model Training
- Model Parallelism
- Distributed Data Parallel DDP
- Deep Learning
- ChatGPT
- palm-e Models
- VALLE
- GOOGLE LAMDA
Mode Parallel, Gradient Accumulation, Data Parallel with PyTorch, Larger Batches

The PyTorch Distributed Stack is a set of PyTorch features that facilitate training models in distributed systems. PyTorch has introduced multiple new features in the distributed package to help support larger scale and higher efficiency for both data and model parallel. In this talk, Yanli Zhao (Software Engineer, Meta AI) shares tips on how to reduce memory footprint, fit larger models and achieve significant speedup with distributed systems with features like Zero Redundancy Optimizer, DistributedDataParallel, FullyShardedDataParallel, CUDA RDMA and ShardedTensor.

OpenAI has officially announced GPT-4 the latest version of its incredibly popular large language model powering artificial intelligence (AI) chatbots. ChatGPT is an AI chatbot that utilizes the language models of GPT-3 and GPT-4 for interactive communication. In other words you can use chatgpt with gpt4. A Generative Pre-Trained Transformer (GPT) is a sophisticated neural network architecture used to train large language models (LLMs). It makes use of large amounts of publicly available Internet text to simulate human communication.

Main improvements:
* It's multimodal (what it is is in video)
* Longer context length
* Better performance
* More safer

chatgpt,
gpt4,
google AI,
Google Lamda,
Google PALM,
artificial intelligence,
Machine learning,
transformer models,
deep learning,
Ray,Ray Tune,Hyperparameter optimization,machine learning,mlflow,open-source

TIMESTAMPS
0:00 Intro
0:55 PyTorch
1:25 Autograd
2:35 PyTorch Distributed
3:10 Types of Parallelization
5:20 DDP
6:38 FSDP
7:48 Fairscale
8:55 PyTorch Lightning
10:30 Model Parallel
11:48 Sagemaker Training



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LINKS/Sources USED:
PyTorch Distributed : https://www.youtube.com/watch?v=3XUG7cjte2U
YC: https://www.youtube.com/watch?v=hQC5O3WTmuo
Fairscale: https://www.youtube.com/watch?v=oDt7ebOwWIc
AWS Reinvent: https://www.youtube.com/watch?v=vv52RsBM8o4

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