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A clean, simple and readable implementation of ProGAN including pretrained weights available on the Github repository if you'd like to evaluate the model :)
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Timestamps:
0:00 - Introduction
0:54 - Summary of ProGAN
14:07 - Results of implementation
16:00 - Model implementation
1:06:13 - Training setup
1:26:22 - Evaluation
1:27:58 - Ending
#PaperExplained #PaperReview
Paper: https://arxiv.org/abs/1810.04805
Useful resources to learn about transformers:
https://peterbloem.nl/blog/transformers
https://nlp.seas.harvard.edu/2....018/04/03/attention.
https://jalammar.github.io/ill....ustrated-transformer
Useful resources to learn about BERT:
https://jalammar.github.io/illustrated-bert/
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First 8K movie shot on Galaxy 8K and seen on QLED 8K.
Sung-hyun (KIM Ju Hun) returns to Korea in 3 years. He spends the long self-quarantine days watching playful vlog videos of Soo-jin. (KIM Go Eun)
What story lies between these two?
New film from KIM Jee Woon,
director of A BITTERSWEET LIFE/ THE GOOD, THE BAD, THE WEIRD/ THE AGE OF SHADOWS
starring KIM Go Eun and KIM Ju Hun
A story about communication and love.
Watch the short film UNTACT now.
This video is suitable for the ages of 12 and over.
This film was shot on 8K utilizing Galaxy S20 and Galaxy Note20 except for a few special-effect scenes.
Unauthorized use, redistribution and reprocessing of this video are prohibited. Any use of this video, profit or non-profit purposes, without consent will be subject to sanctions.
Video quality degradation or interruption can occur depending on the device and the network.
8K viewing is possible only on 8K display-supported settings.
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#Huawei Buy Guide: HUAWEI Mate 40 Series - Eyes on Display: Supporting You Always #HUAWEIMate40
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#Samsung News: Exynos is back | Samsung #Exynos #MobileProcessor
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#Samsung News: 8K Movie: Untact (8K ver.) | Samsung
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Unstructured textual data is ubiquitous, but standard Natural Language Processing (NLP) techniques are often insufficient tools to properly analyze this data. Deep learning has the potential to improve these techniques and revolutionize the field of text analytics.
Deep Learning TV on
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Some of the key tools of NLP are lemmatization, named entity recognition, POS tagging, syntactic parsing, fact extraction, sentiment analysis, and machine translation. NLP tools typically model the probability that a language component (such as a word, phrase, or fact) will occur in a specific context. An example is the trigram model, which estimates the likelihood that three words will occur in a corpus. While these models can be useful, they have some limitations. Language is subjective, and the same words can convey completely different meanings. Sometimes even synonyms can differ in their precise connotation. NLP applications require manual curation, and this labor contributes to variable quality and consistency.
Deep Learning can be used to overcome some of the limitations of NLP. Unlike traditional methods, Deep Learning does not use the components of natural language directly. Rather, a deep learning approach starts by intelligently mapping each language component to a vector. One particular way to vectorize a word is the “one-hot” representation. Each slot of the vector is a 0 or 1. However, one-hot vectors are extremely big. For example, the Google 1T corpus has a vocabulary with over 13 million words.
One-hot vectors are often used alongside methods that support dimensionality reduction like the continuous bag of words model (CBOW). The CBOW model attempts to predict some word “w” by examining the set of words that surround it. A shallow neural net of three layers can be used for this task, with the input layer containing one-hot vectors of the surrounding words, and the output layer firing the prediction of the target word.
The skip-gram model performs the reverse task by using the target to predict the surrounding words. In this case, the hidden layer will require fewer nodes since only the target node is used as input. Thus the activations of the hidden layer can be used as a substitute for the target word’s vector.
Two popular tools:
Word2Vec: https://code.google.com/archive/p/word2vec/
Glove: http://nlp.stanford.edu/projects/glove/
Word vectors can be used as inputs to a deep neural network in applications like syntactic parsing, machine translation, and sentiment analysis. Syntactic parsing can be performed with a recursive neural tensor network, or RNTN. An RNTN consists of a root node and two leaf nodes in a tree structure. Two words are placed into the net as input, with each leaf node receiving one word. The leaf nodes pass these to the root, which processes them and forms an intermediate parse. This process is repeated recursively until every word of the sentence has been input into the net. In practice, the recursion tends to be much more complicated since the RNTN will analyze all possible sub-parses, rather than just the next word in the sentence. As a result, the deep net would be able to analyze and score every possible syntactic parse.
Recurrent nets are a powerful tool for machine translation. These nets work by reading in a sequence of inputs along with a time delay, and producing a sequence of outputs. With enough training, these nets can learn the inherent syntactic and semantic relationships of corpora spanning several human languages. As a result, they can properly map a sequence of words in one language to the proper sequence in another language.
Richard Socher’s Ph.D. thesis included work on the sentiment analysis problem using an RNTN. He introduced the notion that sentiment, like syntax, is hierarchical in nature. This makes intuitive sense, since misplacing a single word can sometimes change the meaning of a sentence. Consider the following sentence, which has been adapted from his thesis:
“He turned around a team otherwise known for overall bad temperament”
In the above example, there are many words with negative sentiment, but the term “turned around” changes the entire sentiment of the sentence from negative to positive. A traditional sentiment analyzer would probably label the sentence as negative given the number of negative terms. However, a well-trained RNTN would be able to interpret the deep structure of the sentence and properly label it as positive.
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Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
It seems like more and more applications and machines are getting on the image recognition train. It's a cool feature to have because it can assist society in many ways, such as boosting productivity and safety if we're dealing with automated vehicles.
Today on Feed My Curiosity, we look at how image recognition works. How does a machine learn what something looks like? Watch to find out!
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Article - https://www.feedmycuriosity.net/2021/06/26/deep-learning-ai-how-image-recognition-works/
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Dataset: https://github.com/XefPatterso....n/Ubisoft-LaForge-An
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Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work.
CORRECTIONS:
The sine and cosine functions are actually applied to the embedding dimensions and time steps!
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Hugging Face Write with Transformers
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Learn how to generate Blog Posts, content writing, Articles with AI - BLOOM Language Model - True Open Source Alternative of GPT-3. It's also free. Just with a click of button from Google Colab you can generate Ai generated Blog posts and Articles.
This is good for content marketers to leverage AI to scale content writing.
Colab Code used here - https://github.com/amrrs/ai-content-gen-with-bloom
#gpt3 #aicontent
Snowfall walk in Times Square, New York City. It's been a year since I last visited New York. I didn't plan a route for this video. My friend living in Brooklyn sent me a text that there would be snowfall in New York the following morning, so I made a 14-hour drive up to New York the day before and crashed in my hotel room in Times Square at 2 am. The next morning it started to snow, but I was still totally exhausted from the night before. This walk is a bit aimless and mostly around Times Square because I had to start work immediately after and was already out of it. I wanted to capture the contrast between this video and my previous videos from 2019. New York is so quiet. Early apologies for all of the cuts in the recording. I stopped to clear water residue off of my camera lens every so often. Binaural audio for an immersive experience.
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Do not copy, reproduce, or distribute any of the content.
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This Edureka video on Metaverse will help you fully comprehend and study metaverse.Through this video, we will understand how the computer screens we use to access to a worldwide web of information have evolved into portals to a physical, 3D virtual realm.Topics covered in this video :
What is Metaverse?
Is it a new concept?
How does it work?
Metaverse technologies
Metaverse companies
🔷 What is Metaverse?
Neal Stephenson, a science fiction author, first used the word "metaverse" in his 1992 book Snow Crash. In his book, Stephenson portrayed the metaverse as a large digital environment that coexists with the real world. Users can interact with other participants in a computer-generated world in the metaverse, a virtual reality environment. It will effectively serve as a 3D version of the internet in the long term.
🔷 Metaverse, Gaming and More
The gaming industry seems to have already embraced the metaverse, despite the fact that it is far bigger than a video game. Consider the online game Fortnite, where players create a unique avatar with which to connect and communicate with one another while also gathering virtual gold to purchase outfits and avatar enhancements. Engineers claim that the metaverse will take virtual reality to a new level by enabling users to float into the virtual world and do tasks like purchasing real estate, holding events, and even getting married using virtual avatars.
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In this Scrum Master full course, we will explain the most important concepts of the Scrum Methodology. Let's start the scrum training!
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Certified Scrum Master Full Course covers what is scrum, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!
Below are the topics we will cover in this video:
00:00:00 What is Scrum
00:34:39 Agile Scrum Master Training
01:58:26 Scrum Master Role and methodology
02:20:40 Scrum Meeting
02:30:09 Scrum Vs. kanban
02:41:50 Scrum Interview Questions
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This video is based on the Advanced Excel Tutorial for 2022. This Advanced Excel Course will cover the major fundamentals of Excel and its Advanced Excel concepts as well. This updated tutorial is dedicatedly designed and organized to help both beginners and experienced to update and enhance their advanced excel skill set.
The video covers the following topics
00:00 Introduction to Advanced Excel Tutorial for 2022
This part of the Advanced Excel Tutorial for 2022 covers a basic introduction to all the Advanced excel Topics Covered on the session
01:45 Excel Basic Knowledge
This part of the Advanced Excel Tutorial for 2022 will cover the Excel fundamentals for beginners
18:27 Goal Seek In Excel
This part of the Advanced Excel Tutorial for 2022 will explain the goal seek formulas and methods
23:03 Excel Lookup Tutorial
This part of the Advanced Excel Tutorial for 2022 will cover the VLookUp, HLookUp, and XLookUp in Excel
1:03:23 Slicers In Excel
This part of the Advanced Excel Tutorial for 2022 will cover the Slicers in Excel concepts and implementation
1:07:46 Excel Budget Template
This part of the Advanced Excel Tutorial for 2022 will help you create a Budget worksheet for your needs
1:14:50 Excel MIS Report
This part of the Advanced Excel Tutorial for 2022 will guide you to create an MIS Report
1:25:01 Excel Macros and VBA
This part of the Advanced Excel Tutorial for 2022 will teach you Excel Macros and VBA Fundamentals
2:27:15 Regression in Excel
This part of the Advanced Excel Tutorial for 2022 will help you learn Regression in Excel
2:53:51 Excel Power query
This part of the Advanced Excel Tutorial for 2022 will help you learn Excel Power Query
3:51:12 Pivot Tables in Excel
This part of the Advanced Excel Tutorial for 2022 will help you learn the Pivot tables in Excel
4:19:12 Excel Interview Questions
This part of the Advanced Excel Tutorial for 2022 will guide you through the most frequently asked Excel Interview Questions
🔥Free Business Analytics with Excel Course with completion certificate- https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube
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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data.
About Business Analytics Certification Course with Excel:
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
Key Features of this Business Analytics Certification Course with Excel program:
✅ 12 hours of self-paced video
✅ Two hands-on industry-based projects on healthcare and e-commerce
✅ Includes training on business intelligence using Power BI
✅ Eight practical exercises
✅ Lifetime access to self-paced learning
Eligibility for this Business Analytics Certification Course with Excel program:
Business Analytics with Excel is the best course for both beginners and experienced professionals who are inexperienced or have recently entered the analytics field. This Business Analytics online course is beneficial for IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.
🔥Free Business Analytics with Excel Course with completion certificate - https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube
Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb
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GPT3 & Beyond: Key concepts and open questions in a golden age for natural language understanding
Listen in as Professor Christopher Potts discusses the significance and implications of recent Natural Language Understanding developments including GPT-3. He describes the fundamental building blocks of these systems and describes how we can reliably assess and understand them.
Learn more about the AI Professional Program: https://stanford.io/3kYThd2
View the slides for this webinar here: https://stanford.io/potts-GPT3-webinar2023
#gpt3 #stanfordwebinar
Chapters:
0:00 Opening
00:09 Introduction for Chris Potts
1:09 Chris Potts - Welcome to the webinar
03:43 Quick Demo of GPT-3
06:41 GLUE benchmark
10:26 How can you contribute to NLU in this era of these gargantuan models?
11:44 The last mile problem
13:35 GPT example
14:50 Contrast In-Context learning with the standard paradigm of standard supervision
16:47 What are the mechanisms behind this?
18:18 Why does this work so well?
18:35 Self-Supervision
21:08 The role of human feedback
21:32 Chat GPT Diagram
23:42 Step-by-step reasoning
28:13 LLMs for everything approach
41:29 AI Courses at Stanford
46:28 Predictions about the future
Generative AI | Jobs with GPT 3, GPT 4, ChatGPT Knowledge and Skills | Career Talk With Anand
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Connect with me on LinkedIn : https://www.linkedin.com/in/an....and-vaishampayan-57b
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Tools that I use:
My Phone : https://amzn.to/3yRWzjG
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Books I have read and Highly recommend:
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Who moved my cheese? : https://amzn.to/3hxwQHs
Eat that frog : https://amzn.to/3hAlCSL
Rich Dad Poor Dad : https://amzn.to/2Vsdzyy
Elon Musk and many other prominent AI researchers signed a petition to stop training on all models beyond GPT-4 to assess the risk to humanity. Let's look at 5 reasons why AIs like ChatGPT should not be feared.
#ai #tech #TheCodeReport
💬 Chat with Me on Discord
https://discord.gg/fireship
🔗 Resources
Pause Giant AI Experiments https://futureoflife.org/open-....letter/pause-giant-a
GPTs impact on labor market https://arxiv.org/abs/2303.10130
Github Copilot First Look https://youtu.be/q1HZj40ZQrM
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Upgrade at https://fireship.io/pro
Use code YT25 for 25% off PRO access
🎨 My Editor Settings
- Atom One Dark
- vscode-icons
- Fira Code Font
🔖 Topics Covered
- Petition to stop training LLMs
- Elon Musk beef with OpenAI
- The impact of ChatGPT on Computer Science degrees
- Is AGI possible?
- Why AGI will never happen
- Moral and ethical problems with Artificial Intelligence
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep....-learning-with-tenso (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on 'What is a Neural Network' will help you understand how Neural Networks can be used to solve complex, data-driven problems along with their real-world applications.
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
In this project tutorial, you will build a LeetCode clone with React, Tailwind CSS, Next.JS, Typescript, and Firebase. Also deploy it to Vercel at the end.
💻 Source Code: https://github.com/burakorkmez..../leetcode-clone-yout
💻 Github Gist: https://gist.github.com/burako....rkmez/5ba4c1a910f396
🔗 Demo Project: https://leetclone.vercel.app/problems/two-sum
🔗 Discord Server(to ask questions): https://discord.gg/YFn2WyheZV
Course created by @asaprogrammer_
⭐️ Contents ⭐️
0:00:00 Intro
0:00:29 Demo of The App
0:05:23 Project Setup
0:08:51 Auth Page Setup
0:13:19 Auth Page Navbar
0:18:54 AuthModal Layout UI
0:22:16 Login UI
0:29:41 Signup UI
0:31:59 ResetPassword UI
0:33:13 Integrating Recoil Auth State
0:47:31 Firebase Setup
0:52:41 Signup Functionality
1:01:21 Login Functionality
1:05:14 Auth Page Route Guard
1:08:01 Home Page UI
1:12:50 Problems Table UI
1:21:01 Youtube Video Modal
1:29:51 Topbar Update On Auth
1:32:46 Logout Functionality
1:37:11 Auth Modal Optimizations
1:38:44 Reset Password Functionality
1:42:56 React Toastify
1:47:19 Image optimizations
1:54:33 Creating [pid] page and update topbar
2:02:27 Creating Timer.tsx
2:12:31 Creating Workspace.tsx
2:15:18 Splitting The Page
2:19:47 Creating ProblemDescrition.tsx
2:26:03 Creating PreferenceNav.tsx
2:34:39 Creating Code Editor
2:41:10 Adding Test Cases UI
2:50:15 Creating EditorFooter.tsx
2:56:32 Data Handling Explained
3:01:50 Two Sum Problem
3:12:52 Reverse Linked List
3:18:05 Jump Game Problem
3:20:13 Valid Parentheses Problem
3:21:16 Search 2d Matrix Problem
3:22:01 Using SSG for [pid].tsx
3:46:47 Updating testcases UI
3:51:39 Initializing Firestore
3:55:56 Adding problems to DB
4:12:09 Fetch Problems
4:32:58 Create Users in DB
4:40:33 Fetch problem data
4:51:28 Loading skeletons
4:56:35 Get user data on the problem
5:06:23 Like functionality
5:27:51 Dislike functionality
5:39:03 Star functionality
5:46:03 Next and Previous problem
5:55:23 Solving Hydration Error
5:58:08 Confetti Celebration
6:01:43 Code Submission
6:20:50 Save code to localstorage
6:24:48 Solving bugs
6:31:08 Toggle Full Screen
6:34:13 SettingsModal UI
6:41:33 SettingsModal Functionality
6:54:23 Update Home Page
6:59:11 Sandboxing technique
7:01:58 Deployment
7:05:08 Firebase Rules
🎉 Thanks to our Champion and Sponsor supporters:
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
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Redux: Handle an Action in the Store
#100DaysOfCode