One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll also go over the architecture of it's inspiration (the neural turing machine).

Code for this video (with challenge):
https://github.com/llSourcell/....How-to-Learn-from-Li

Please subscribe! And like. And comment. That's what keeps me going.

More learning resources:
https://www.youtube.com/watch?v=CzQSQ_0Z-QU
https://arxiv.org/abs/1605.06065
https://futuristech.info/posts..../differential-neural
https://thenewstack.io/googles....-deepmind-ai-now-cap

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An overview of Deep Learning, including representation learning, families of neural networks and their applications, a first look inside a deep neural network, and many code examples and concepts from TensorFlow. This talk is part of a ML speaker series we recorded at home. You can find all the links from this video below. I hope this was helpful, and I'm looking forward to seeing you when we can get back to doing events in person. Thanks everyone!

Chapters:
0:00 - Intro and outline
1:42 - TensorFlow.js demos + discussion
3:58 - AI vs ML vs DL
7:55 - What’s representation learning?
8:40 - A cartoon neural network (more on this later)
9:20 - What features does a network see?
10:47 - The “deep” in “deep learning”
12:48 - Why tree-based models are still important
13:38 - How your workflow changes with DL
14:02 - A couple illustrative code examples
17:59 - What’s a hyperparameter?
19:44 - The skills that are important in ML
20:48 - An example of applied work in healthcare
21:58 - Families of neural networks + applications
28:55 - Encoder-decoders + more on representation learning
32:45 - Families of neural networks continued
35:50 - Are neural networks opaque?
38:29 - Building up from a neuron to a neural network
49:11 - A demo of representation learning in TF Playground
53:24 - Importance of activation functions
54:36 - What’s a neural network library?
58:43 - Overfitting and underfitting
1:02:38 - Autoencoders (and anomaly detection) screencast and demo
1:12:13 - Book recommendations

Here are three helpful classes you can check out to learn more:

Intro to Deep Learning from MIT → http://goo.gle/3sPj8To
MIT Deep Learning and Artificial Intelligence Lectures → https://goo.gle/3qh7H54
Convolutional Neural Networks for Visual Recognition from Stanford → http://goo.gle/3bbC34I

And here are all the links to demos and code from the video, in the order they appeared:

Face and hand tracking demos → http://goo.gle/2WTCwSc
Teachable machine demo → https://goo.gle/3bSCzCi
What features does a network see? → http://goo.gle/3e2zpA5
DeepDream tutorials → http://goo.gle/3bYIBTp and http://goo.gle/384B6JC
Hyperparameter tuning with Keras Tuner → http://goo.gle/2InBK7J
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs → http://goo.gle/309pMY5
Linear (and deep) regression tutorial → http://goo.gle/3sKxkN7
Image classification with a CNN tutorial → http://goo.gle/3qdD2Wb
Audio recognition tutorial → http://goo.gle/3kFpl1j
Transfer learning tutorial → http://goo.gle/3bV7D60
RNN tutorial (sentiment analysis / text classification) → http://goo.gle/3bVM1X7
RNN tutorial (text generation with Shakespeare) → http://goo.gle/3qmnrnz
Timeseries forecasting tutorial (weather) → http://goo.gle/3ecdYg9
Sketch RNN demo (draw together with a neural network) → http://goo.gle/3bbHTTy
Machine translation tutorial (English to Spanish) → http://goo.gle/3e7IJme
Image captioning tutorial → http://goo.gle/3sKFNQz
Autoencoders and anomaly detection tutorial → http://goo.gle/30aD0UA
GANs tutorial (Pix2Pix) → http://goo.gle/3kI1ZrB
A Deep Learning Approach to Antibiotic Discovery → https://goo.gle/3e7ivQD
Integrated gradients tutorial → http://goo.gle/2PxfRtq and http://goo.gle/3sE0bmq
TensorFlow Playground demos → http://goo.gle/2Px6rhB
Introduction to gradients and automatic differentiation → http://goo.gle/3sFVybo
Basic image classification tutorial → http://goo.gle/3c2AF3o
Overfitting and underfitting tutorial → http://goo.gle/3cdA9Qv
Keras early stopping callback → http://goo.gle/308XQUj
Interactive autoencoders demo (anomaly detection) → http://goo.gle/3kPfW7q
Deep Learning with Python, Second Edition → http://goo.gle/3qcQ5Y5
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition → http://goo.gle/386DKP4
Deep Learning book → http://goo.gle/3c2VQmd

Find Josh on Twitter → https://goo.gle/308Ve8P

Subscribe to TensorFlow → https://goo.gle/TensorFlow

🤖💡Delving into the Depths of Deep Learning.

🔍 In this video, learn about the captivating world of Deep Learning, where algorithms evolve and AI reaches new heights.

📚 The Basics of Deep Learning
🧠 Neural Networks
📊 Deep Learning Applications
🌍 Real-world Impacts and Transformations
🚀 Future Frontiers in Deep Learning

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We're going to build a variational autoencoder capable of generating novel images after being trained on a collection of images. We'll be using handwritten digit images as training data. Then we'll both generate new digits and plot out the learned embeddings. And I introduce Bayesian theory for the first time in this series :)

Code for this video:
https://github.com/llSourcell/....how_to_generate_imag

Mike's Winning Code:
https://github.com/xkortex/how...._to_win_slot_machine

SG's Runner up Code:
https://github.com/esha-sg/Int....ro-DeepLearning-Sira

Please subscribe! And like. And comment. That's what keeps me going.

2 things
-The embedding visualization at the end would be more spread out if i trained it for more epochs (50 is recommended) but i just used 5.
-The code in the video doesn't fully implement the reparameterization trick (to save space) but check the GitHub repo for details on that.

More Learning resources:
https://jaan.io/what-is-variat....ional-autoencoder-va
http://kvfrans.com/variational....-autoencoders-explai
http://blog.fastforwardlabs.co....m/2016/08/12/introdu
http://blog.fastforwardlabs.co....m/2016/08/22/under-t
http://blog.evjang.com/2016/11..../tutorial-categorica
https://jmetzen.github.io/2015-11-27/vae.html

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And please support me on Patreon:
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MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
** New 2025 Edition **

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

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

Xiaoqing Ge, Senior Innovation Engineer at Baker Hughes, discusses the following:
• Overview of computer vision
• How deep learning works in computer vision?
• Traditional methods vs deep learning
• Survey of Baker Hughes applications
• Looking ahead

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This video on Search Engine Marketing Full Course 2026 by Simplilearn, explains how paid advertising works on search engines like Google. You’ll learn Google Ads basics, keyword targeting, ad creation, bidding strategies, and campaign optimization. The course also covers conversion tracking, performance analysis, and ROI-focused marketing. With real-world examples, you’ll understand how businesses drive traffic and sales using paid search. Perfect for beginners, marketers, and professionals looking to master performance marketing.

Related Videos:
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✅ 2. Digital Marketing Full Course 2026 - https://youtube.com/live/nZRcNYD3yNs
✅ 3. Digital Marketing Roadmap For 2026 - https://youtu.be/uTNi0kXeJ3Q
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➡️ About Digital Marketing Specialist

Experience live and interactive learning with this comprehensive digital marketing masters program. Learn to leverage ChatGPT and other generative AI tools for digital marketing. Additionally, you will receive a Meta Certified Digital Marketing Associate exam in the program.

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#PowerBIFullCourse2024 #PowerBITutorialForBeginners #PowerBICourse #Intellipaat

As organizations struggle with the challenge of transforming raw data into actionable insights, Power BI emerges as a powerful tool. In this Power BI course 2024, we will learn how Power BI has changed the way of doing Data Analytics.

This particular Power BI Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Power BI from Fundamentals To Data Visualization in Power BI.

With this Power BI Course 2024, we will give you the Fundamental idea of what is Power BI, Power BI Installation, Power BI Interface, Power BI Basics, Power BI with MySQL, Power BI Power Query Editor, Shaping Data in Power BI, Data Modelling in Power BI, DAX Function in Power BI, and Data Visualization. We will also highlight some of the important Power BI interview questions.

🔵 Following topics are covered in this Power BI Course 2024
00:00:00 - Introduction to Power BI Course
00:02:17 - What is Power BI?
00:06:15 - Power BI Installation
00:29:41 - What is Business Intelligence?
01:01:14 - Why Power BI?
01:07:01 - Power BI Components
01:25:52 - Architecture of Power BI
01:32:12 - Creating a Report in Power BI
02:18:22 - Overview of Power BI Desktop
02:20:31 - Data Sources in Power BI
03:41:28 - Power Query Editor
04:02:19 - Shaping Data
04:32:12 - Formatting Data
05:56:53 - Combining Data
07:16:51 - Power BI Data Model
08:14:03 - What is DAX?
11:00:02 - Power BI Interview Questions

✅Can I learn Power BI myself?
How to learn Power BI and get certified. Power BI has a friendly graphical interface, but there's a lot of complexity beneath the surface. It's easy to watch videos or read tutorials and assume that you've learned Power BI. But to pass the exam and get job-ready, you'll need hands-on skills.

✅Can we learn Power BI in 10 days?
It generally takes four to six weeks to learn the basics of Power BI, with the process involving seven specific stages, including installing, integrating data sources, handling data, creating basic visualizations, using DAX functions, making dashboards and reports, and publishing data findings.

➡️ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

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👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
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What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
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✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

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#anuvjain #guitar #guitarcover #independentartist

This video is intended for entertainment purposes only. I do not own the rights to any of the songs featured in this jukebox compilation. All audio and visual content used in this video are the property of their respective copyright holders.

Fair Use Notice: This video is not intended to infringe upon any copyright, but to provide a transformative experience for viewers who wish to enjoy the artist's music in a compiled format. This use is believed to fall under fair use as it is nonprofit, and intended for review and commentary purposes.

If you are the copyright owner and would like this video to be taken down, please contact me directly. I will promptly remove the content as requested.

Thank you for your understanding and support!

Official audio for I Want To Wake Up by Pet Shop Boys taken from their 1987 album, 'Actually'.

Subscribe for more here: http://smarturl.it/petshopboysyoutube

Follow Pet Shop Boys:
Website: https://www.petshopboys.co.uk
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Lyrics:

[Chorus]
Hit music on the radio
Hit music on the radio

[Verse 1]
When you dance with me we dance forever
All night long to your favourite

[Chorus]
Hit music on the radio
Hit music on the radio

[Verse 2]
When you dance with me we dance forever
All night long to the latest song
Live a lie, dance together
All night long to your favourite

[Chorus]
Hit music
Hit music

[Bridge]
I've been working hard all day
To pay the bills I have to pay
Don't have the strength to work all night
Or fight until it's almost light

[Chorus]
Music on the radio
D-dance music at the disco

[Verse 3]
Live a lie, dance together
All night long to your favourite song
Live and die, it's all that we know
I need a friend at the journey's end

[Chorus]
Hit music in stereo

[Interlude]

[Verse 4]
It's all about love and it's about forgetting
Choose a song when the night's too long
We all need love and we want protection
I need a friend at the journey's end
In Kensington or Spanish Harlem
All night long to your desperate

[Chorus]
Hit music on the radio
Music at the disco

[Chorus]
Hit music on the radio
Hit music on the radio

#PetShopBoys #HitMusic

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

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#aiagents

Want to start freelancing? Let me help: https://go.datalumina.com/AnPJSFV
Want to learn real AI Engineering? Go here: https://go.datalumina.com/nxqQtsA

New to Python? Watch my FREE Python for AI Course:
https://youtu.be/ygXn5nV5qFc

💼 Need help with a project?
Work with me: https://go.datalumina.com/TMGbUvO

🔗 GitHub Repository
https://github.com/daveebbelaa....r/ai-cookbook/tree/m

🔗 Other links
https://www.anthropic.com/rese....arch/building-effect
https://platform.openai.com/do....cs/api-reference/int

🛠️ My VS Code / Cursor Setup
https://youtu.be/mpk4Q5feWaw

⏱️ Timestamps
0:00 Introduction
2:45 Basic API Call
5:10 Structured Output
8:00 Using Tools
18:31 Memory and Retrieval
24:35 Building an AI Calendar Agent
34:59 Prompt Chaining
37:56 Routing Requests
41:57 Parallelization
46:18 Deploying Your AI Application

📌 Description
In this tutorial, we’ll cover everything you need to start building AI agents in pure Python. We’ll start with the essential building blocks and then dive into workflow patterns for more reliable systems. To follow along, basic Python skills are recommended, along with familiarity with the OpenAI SDK and an API key. I highly recommend cloning the GitHub repository so you can work through the code step by step. Watch me go through it first, then try it yourself to reinforce your understanding. I move quickly to cover a lot in 45 minutes, but you can always pause, rewind, or ask ChatGPT for help.

👋🏻 About Me
Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!

Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

▶️ Intellipaat's Power BI Certification Training Course - https://intellipaat.com/power-bi-training/

Welcome to this tutorial on Power BI Full Course! In this video, we will cover basic Business Intelligence as well as Power BI Components and Pricing. Moving Further we'll look into the Power Query Editor, Relationships & DAX. Last but not least we'll cover Power BI Certifications and some Interview Question and Answers.

🔵 What is Power BI?
Power BI is a business analytics service provided by Microsoft. It allows users to create interactive visualizations and reports with data from a variety of sources, such as Excel, SQL Server, and the web. Power BI includes a number of tools and features, including Power BI Desktop (a standalone Windows application for creating reports and dashboards), Power BI Service (a cloud-based platform for sharing and collaborating on reports and dashboards), and Power BI Mobile (mobile apps for iOS, Android, and Windows). With Power BI, users can easily create professional-looking reports and dashboards and share them with colleagues and stakeholders. In a Power BI course, you can expect to learn how to import, transform, and visualize data with Power BI, as well as how to create and publish reports and dashboards.

🔵 Why learn Power BI?
There are several reasons why you might want to learn Power BI:

✅ Widely used and well-respected: Power BI is a widely used and well-respected business intelligence tool. By learning Power BI, you can develop skills that are in demand in the job market.

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Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

#PowerBI #PowerBICourse #PowerBITutorialForBeginners #Intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

👉Following topics are covered in this video:
00:00:00 -Introduction to Power BI Course
00:06:33 - Power BI Project
00:51:53 - What is Business Intelligence?
00:58:38 - BI Use Cases
01:00:59 - Various BI Tools
01:02:24 - Why Power BI?
01:09:17 - Introduction to Power BI
01:12:33 - Power BI Components
01:26:23 - Power BI Pricing
01:30:38 - Building Blocks of Power BI
01:33:52 - Architecture of Power BI
01:39:48 - Power BI Desktop Installation
01:50:03 - Creating Report in Power BI
02:56:12 - R Script
03:07:47 - Shaping Data
04:14:38 - Power Query Editor
05:27:55 - What is DAX?
06:57:52 - Hands-on
08:10:53 - Power BI Certification
08:25:05 - Power BI Interview Question

----------------------------
🔵 Intellipaat Edge
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