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With this video, I am beginning a new deep learning tutorial series for total beginners. In this deep learning tutorial python, I will cover following things in this series,
1. Explain neural network concepts in most easiest way
2. Go over math if needed, otherwise keep the tutorials simple and easy
3. Provide exercises that you can practice on
4. Use python, keras and tensorflow mainly. I might cover pytorch as well
5. Cover convolutional neural network (CNN) for image and video processing
6. Cover recurrent neural network (RNN) for sequential analysis and natural language processing (NLP)

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

🔖 Hashtags 🔖
#deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer

Next video: https://www.youtube.com/watch?v=yfsTZbwgMSE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=2

Playlist for this deep learning series: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Special thanks to NVIDIA for gifting me Titan RTX GPU. This is Nvidia's top of the line, very powerful GPU that can make running deep learning jobs super fast. I am planning to make tutorials in future where I can utilize this GPU to benchmark deep learning training jobs. Here is more information on this GPU: https://www.nvidia.com/en-us/d....eep-learning-ai/prod

Keywords: Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners

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This video explains the original GPT model, "Improving Language Understanding by Generative Pre-Training". I think the key takeaways are understanding that they use a new unlabeled text dataset that requires the pre-training language modeling to incorporate longer range context, the way that they format input representations for supervised fine-tuning, and the different NLP tasks this is evaluated on!

Paper Links:
GPT: https://s3-us-west-2.amazonaws.....com/openai-assets/r
DeepMind "A new model and dataset for long range memory": https://deepmind.com/blog/arti....cle/A_new_model_and_
SQuAD: https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/Oxygen.html?model=BiDAF%20+%20Self%20Attention%20+%20ELMo%20(single%20model)%20(Allen%20Institute%20for%20Artificial%20Intelligence%20[modified%20by%20Stanford])&version=v2.0
MultiNLI: https://www.nyu.edu/projects/bowman/multinli/
RACE: https://arxiv.org/pdf/1704.04683.pdf
Quora Question Pairs: https://www.quora.com/q/quorad....ata/First-Quora-Data
CoLA: https://arxiv.org/pdf/1805.12471.pdf

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This Digital Marketing Course video is the second part of a series that will have everything you need to know about Digital Marketing. This video covers a wide range of topics like Google ads, Google display network, Google analytics, how to set up goals in Google ads, Google data studio, how to start with social media marketing, facebook ads, facebook ads tips and strategies, how to rank youtube videos, how to create a youtube channel, how to increase youtube subscribers, youtube ads, how to increase followers on instagram, and how to increase twitter followers. This video covers the domains of Search Engine Marketing and Social Media Marketing.

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🔥 Digital Marketing Course Part3: https://www.youtube.com/watch?v=gNBXwFsNm-8

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5. Where is Google showing your ads 20:33
6. How can you create a Google Ad 33:40
7. Important metrics to track 44:08
8. Optimizing your advertisements 53:33
9. Google Display Network 01:01:31
10. What is the Google Display Network 01:02:22
11. GDN vs GSN 01:08:15
12. Google Display Network Ad formats 01:12:43
13. How to set up an Ad on GDN 01:14:23
14. Advantages of the GDN 01:32:16
15. Google Analytics 01:36:18
16. How to setup Google Analytics account 01:36:33
17. Google Analytics reports 01:49:32
18. How to setup Goals In Google Analytics 2019 02:33:15
19. Google data Studio Tutorila 03:37:46
20. How to start Social Media Marketing 041:04:39
21. What is Social Media Marketing 04:04:50
22. Why do Social Media Marketing 04:06:00
23. What are the channels use for SMM and how can you use them Media Marketing 04:08:45
24. What are the tools for Social 04:46:24
25. Tips to be a good Social Media Marketer04:49:42
26. Facebook Ads Tutorial 04:53:00
27. What are Facebook Ads 04:53:06
28. Why advertise on Facebook 04:54:02
29. What are the types of Facebook Ads 04:58:22
30. What are the steps to creating a Facebook Ad 05:04:27
31. The Do's and Don'ts of Facebook Advertising 05:47:41
32. Facebook Advertising Tips and Strategies 05:52:51
33. How to Rank Youtube Videos 06:35:19
34. Youtube Keyword Research 06:38:06
35. Create high-quality videos 06:58:47
36. Importance of user engagement 07:13:49
37. Promote your content 07:18:17
38. How to create a Youtube Channel 07:28:18
39. Creator Studio 07:48:32
40. How to Increase Youtube Subscribers 08:03:03
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This Jenkins tutorial will help you understand what is Jenkins, issues before Jenkins came in, what is continuous integration, features of Jenkins, Jenkins architecture, and you will also see a case study using Jenkins. Jenkins is a continuous integration tool that allows continuous development, test and deployment of newly created codes. Jenkins is primarily a build and release tool, it was written originally by the community as a build and release tool. They did not target it as a continuous integration, continuous deployment or an orchestration tool, it was simply used for releasing builds to production but now Jenkins has a lot of other uses like it's a continuous integration tool. It allows developers to make sure that their environments have the exact same code as their code repositories. Now let us get started and understand how Jenkins is being used in DevOps.

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MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00​ - Introduction
3:07​ - Sequence modeling
5:09​ - Neurons with recurrence
12:05 - Recurrent neural networks
13:47 - RNN intuition
15:03​ - Unfolding RNNs
18:57 - RNNs from scratch
21:50 - Design criteria for sequential modeling
23:45 - Word prediction example
29:57​ - Backpropagation through time
32:25 - Gradient issues
37:03​ - Long short term memory (LSTM)
39:50​ - RNN applications
44:50 - Attention fundamentals
48:10 - Intuition of attention
50:30 - Attention and search relationship
52:40 - Learning attention with neural networks
58:16 - Scaling attention and applications
1:02:02 - Summary
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This video on complete excel course - beginner to expert by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals.

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Excel Basic Knowledge
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Нил Армстронг и Базз Олдрин ещё до полёта на Луну провели около трех месяцев в Неваде, близ кратера, оставшегося после испытания ядерного взрывного устройства. В какой-то мере благодаря этому им удалось отыскать на спутнике нашей планеты породы, которые помогли учёным подтвердить предположения о том, как образовались Земля, Луна и Солнечная система.

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Advanced Excel Full Course 2023 by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals. This Microsoft Excel Tutorial For Beginners will cover basic topics of excel like data validation, conditional formatting, spreadsheet fundamentals to advanced excel topics like time series analysis, filters, slicers, excel dashboarding, data visualization, and much more.

This Excel Full Course will cover the following topics:
00:00:00 introduction to Microsoft Excel Full Course
00:01:52 Excel Basic Knowledge
00:18:45 How To Change Lower Case To Upper Case In Excel?
00:19:58 How To Add Rows In Excel?
00:21:32 How To Add Columns In Excel?
00:24:29 How To Select Entire Column In Excel?
00:27:16 How to Compare Two Columns In Excel?
00:34:36 How To Convert Rows To Columns In Excel?
00:36:13 How to Group Rows in Excel?
00:37:55 How To Remove Blank Rows In Excel?
00:41:44 How To Freeze Row In Excel Tutorial
00:44:12 How to Convert Numbers to Words in Excel?
00:46:59 Combining Data From Multiple Cells In Excel
00:49:27 How To Merge Cells In Excel
00:54:12 How to Add Date in Excel?
00:55:48 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
00:59:55 How To Calculate Age In Excel From A Date Of Birth?
01:01:37 How To Calculate Time Difference in Excel?
01:03:15 DAX In Excel Explained
01:08:20 Checkboxes In Excel
01:12:31 How to Insert Excel in PPT?
01:14:40 How To Insert Image In Excel?
01:18:05 How To Insert PDF in Excel Sheet?
01:21:40 How To Convert PDF To Excel
01:26:05 How to Insert Tick Mark in Excel?
01:29:05 How to add Watermark in Excel?
01:32:00 How to Increase Cell Size in Excel?
01:34:50 How to create Barcode In Excel
01:38:08 Excel Flash Fill
01:43:00 How to Add Hyperlink In Excel
01:55:44 Excel Round-Off Formula
01:58:18 How To Calculate Standard Deviation In Excel?
02:04:50 Index Match In Excel
02:09:10 How to Sort by Date in Excel?
02:10:40 How to Use AutoSum In Excel
02:13:47 How To Sort Data In Excel?
02:23:56 Slicer and Filter in Excel
02:27:49 How to Add Filters in Excel
02:29:20 Goal Seek In Excel
How to Create Drop-Down List In Excel?
02:44:46 Data Validation In Excel
02:44:50 How To Lock(Protect) Cells In Excel
03:17:55 How To Calculate Average In Excel?
03:18:43 Excel Print Page Setup
03:36:47 Page Break In Excel For Beginners
03:08:53 Conditional Formatting In Excel
03:41:56 How to Count Colored Cells in Excel?
03:47:54 DateDif In Excel Explained
03:51:08 Remove Duplicates In Excel
03:55:05 SUMIFS Formula in Excel
04:02:40 How To Create Pivot Tables In Excel
04:07:00 Autofill In Excel Explained
04:10:22 How to Calculate Percentage In Excel
04:12:08 How To Highlight Duplicates In Excel?
04:16:04 Charts In Excel
04:21:56 Progress Tracker In Excel
04:25:50 Excel Gantt Chart Tutorial
04:28:48 Pivot Tables In Excel
04:57 Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
06:45:02 Time Series Analysis in Excel
07:37:00 Excel Dashboard Design
08:47:00 Excel Power Query Tutorial For Beginners
09:44:44 Excel Budget Template
09:51:37 Excel Interview Questions And Answers

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#HowtoGroupRowsinExcel #ExcelTutorial #ExcelGrouping #ExcelTips #MSExcel #Excel #ExcelTraining #LearnMSExcel #ExcelBasics #ExcelTutorialForBeginners #simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=19Feb2024LGLoopEvening1-8Ob8Hre_SnI&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Gradient and Google Gemma model. This crash course includes both theoretical intuition and practical intuition on making you understand how we can perform finetuning.

Timestamp:

00:00:00 Introduction
00:01:20 Quantization Intuition
00:33:44 Lora And QLORA Indepth Intuition
00:56:07 Finetuning With LLama2
01:20:16 1 bit LLM Indepth Intuition
01:37:14 Finetuning with Google Gemma Models
01:59:26 Building LLm Pipelines With No code
02:20:14 Fine tuning With Own Cutom Data

Code Github: https://github.com/krishnaik06/Finetuning-LLM
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Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
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►Generative AI On AWS:https://www.youtube.com/watch?v=2WOa4_3Bgtw&list=PLZoTAELRMXVP5zpBfH7pab4aB1LbmCM1z
►Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
►LLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
►AWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
►Llamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy

►Google Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
►Langchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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LLMs or Large Language Models are everywhere these days. But how do they work exactly? In this video, a deep-fake version of Ryan Gosling (created with ElevenLabs and SyncLabs) explains the high-level workings of an LLM like ChatGPT.

🔵TOPICS 🔵
0:42 What are Large Language Models (a.k.a. LLMs)
1:10 Well known commercial and open source examples of LLMs
1:41 The inner workings of an LLM
3:00 What embeddings are
6:34 LLMs compared to how our live is generated
7:43 What the acronym GPT stands for

🔵ATTRIBUTION 🔵
Ground Truth Video Used to Create this video
KEN Things Ryan Gosling Can't Live Without | GQ
https://youtu.be/aNJ_JPkbH2M?si=rPGZEJndw-JP_lMw

🔵FAIR USE 🔵
This video is for educational purposes and is in line with the guidelines for Fair Use
https://support.google.com/youtube/answer/9783148?hl=en&ref_topic=2778546

#lipsync #chatgpt #llm #llms #generativeai #voicecloning #claude3 #perplexityai #perplexity #autonomousagents #autogen #crewai #facefusion

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New Claude Code Update is INSANE! (AI Coding Revolution)

Anthropic just released a massive update to Claude Code Desktop that transforms your computer into an autonomous AI coding machine. Discover how it handles everything from live app previews to automated PR merges while streamlining your entire development workflow. Learn why this update is a game-changer for developers and how to start using it today.

00:00 - Intro: The Massive Claude Update
01:04 - Live App Previews & Auto-Fixing
02:07 - Automated Local Code Reviews
02:47 - CI Failure Handling & Auto-Fix
03:26 - PR Monitoring & Auto-Merge
04:21 - Session Mobility Explained
04:48 - The Future of AI Development
06:59 - How to Get Started with Claude Code

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructors: Vasily Strela, Jake Xia, and Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides an introductory overview of a course combining mathematical theory and real-world financial applications, featuring lectures by academics and industry experts. The instructors emphasize the practical use of mathematics in finance, covering topics like bond math, portfolio optimization, and machine learning, while utilizing tools such as RStudio Cloud for data analysis. Additionally, the course includes guest speakers from prominent financial institutions, offering students exposure to cutting-edge quantitative finance concepts and industry practices.

License: Creative Commons BY-NC-SA
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