Welcome to the first video in my Deep Learning With Pytorch playlist!

In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs. Tensorflow.

Then we'll set up a development environment using Google Colab, and create a first notebook and push it to a Github repository.

#pytorch #codemy #JohnElder

Timecodes

0:00​​ - Introduction
1:12 - Pytorch vs. Tensorflow
2:32 - What is a Neural Network?
4:10 - How Much Math Do You Need?
7:14 - Pytorch Documentation
7:37 - Development Environment Google Colab
9:09 - Use GPU Runtime
10:24 - Check Latest Version of Pytorch
12:04 - Set Up Github Repository
13:36 - Authorize Colab In Github
14:35 - Push Notebook To Github
16:09 - Conclusion

Intro to Deep Learning - Part 1

In this video, I introduce the fundamentals of deep learning with a real-world scenario:
📌 Predicting how much it will rain tomorrow (precipitation).

Suitable for beginner to intermediate practitioners in machine learning and AI.

🔍 Topics Covered in Part 1:
1. Scenario: How can we predict precipitation?
2. Data-Driven Approach:
- Adding more variables (features)
- Nearest neighbor
- Mapping vectors to real numbers
3. Machine Learning:
- Random search

💡 Coming in Part 2:
3. Machine Learning:
- Derivative
- Gradient Descent
4. Conclusion and Summary

This video is a VERY basic introduction to deep learning. I do not delve too deeply into the specifics, rather this video is meant as a cursory overview of the concept of deep learning and how it works. In later videos, we will explore the terms introduced in this video much more.

If you enjoy this video, please subscribe. I provide all my content at no cost. If you want to support my channel, please donate via
PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=AZ73QW52SUX8N¤cy_code=USD&source=url
Patreon: https://www.patreon.com/WJBMattingly (its my www.themedievalworld.com account as well).

If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it.

If you liked this video, check out www.PythonHumanities.com, where I have Coding Exercises, Lessons, on-site Python shells where you can experiment with code, and a text version of the material discussed here.

You can follow me at:
https://twitter.com/wjb_mattingly

eep learning networks are mechanical systems which “learn” by modeling high-level abstractions in datasets, and cycling through trial-and-error guesses with feedback, to establish an optimally-weighted system that can make accurate predictions about new data. LSTM RNNs (long short term memory Recurrent Neural Nets) is a deep learning method that overcomes some of the limitations in classical time series forecasting (non-linearity, fixed-time windows, time lag specification, and multivariate forecasting). Hence, deep learning is emerging as an important forecasting technique for coping with exponentially growing data, and the ability to expediently process and direct these data. In the future, deep learning smart networks might provide an advanced computational infrastructure for tackling real-time predictive data science problems such global health monitoring, energy storage and transmission, and financial risk assessment. Slides: https://www.slideshare.net/lab....logga/deep-learning-

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29 Dark Moon - Gale Storm
30 That'll Be the Day - The Crickets

Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.

It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Platforms mentioned in this video (most are open source!):

- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course

- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/

- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!

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Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
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In this video, I break down building an AI Agent so simply even a 10-year-old could do it! I’ll walk you through what an AI agent is and how to build a basic email agent in n8n that can automatically send emails for you.

No coding experience? No problem! I’ll guide you step-by-step, showing just how quick and easy you can get this set up. By the end of this video, you’ll have your very own email-sending AI agent up and running in no time.


Sponsorship Inquiries:
📧 sponsorships@nateherk.com

WATCH NEXT:
https://youtu.be/u2Tuu02r7QI

TIMESTAMPS
00:00 Components of an AI Agent
03:50 Step 1: Chat Input
04:18 Step 2: Adding the Brain
05:49 Step 3: Adding Memory
07:45 Step 4: Adding Send Email Tool
10:21 Step 5: Adding Instructions (System Message)
12:04 Testing the Email Agent
13:43 Reviewing the Agent Log
15:00 Step 6: Adding Contact Database Tool
16:57 Final Test
18:05 Final Thoughts

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: HyperX SoloCast
Background Music: https://www.youtube.com/watch?v=Q7HjxOAU5Kc&t=0s

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#MúsicaPopEnInglés, #Billboardhot100, #topsongs
=========================================
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=========================================
¡Gracias por ver! ¡No olvides SUSCRIBIRTE, darle Me Gusta y Compartir mi video si lo disfrutas! ¡Que tenga un lindo día!https://www.youtube.com/channe....l/UCXSoMOeF6exiwVIJ2
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=========================================
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06:17:27 Classes and Objects
06:36:17 Inheritance
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07:29:32 Scope in Python
07:48:28 Exception Handling
08:18:08 Sorting in Python
09:02:19 Python Projects

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- Ensemble Learning
- Computer Vision

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Learn how to earn a free C# certification! freeCodeCamp has teamed up with Microsoft up to bring you a new free professional certification: the Foundational C# Certification. The course is a text based course, not a video course. This professional certification includes 35 hours of text-based training and interactive coding challenges all from Microsoft, and also an online certification exam by freeCodeCamp. In this video, freeCodeCamp team member @GavinLon will preview the course, along with telling you everything you need to do to take this free course.

💻 Access the course and certification here: https://www.freecodecamp.org/l....earn/foundational-c-

🔗 .NET Home Page: https://dotnet.microsoft.com/
🔗 Community Page: https://dotnet.microsoft.com/platform/community
🔗 Beginner Videos: https://dotnet.microsoft.com/learn/videos
🔗 MS Learn for .NET: https://learn.microsoft.com/training/dotnet/
🔗 Docs: https://learn.microsoft.com/dotnet/

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:05:09) Overview of how to acquire the Foundational C# with Microsoft Developer Certificate
⌨️ (0:09:34) In depth guide through Part1, Module1 (Write your first C# code)
⌨️ (0:48:42) Configure and Install Visual Studio Code and Install .NET 7 SDK
⌨️ (1:04:08) Code Example - if, else, else if statements in C#
⌨️ (1:10:43) Code Example -switch-case construct in C#
⌨️ (1:17:52) Code Example - write your first C# method
⌨️ (1:25:40) Gavin Lon takes the Foundational C# with Microsoft Developer Certification exam
⌨️ (1:27:46) Recommended content to continue your C# and .NET education upon finishing the certification
⌨️ (1:29:29) Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
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👾 Serhiy Kalinets
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👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Learn how to easily implement modern designs in your Tkinter-based Python applications using ttkbootstrap.

You will learn how to use all the main ttkbootstrap widgets to make your Tkinter apps look modern and awesome!

✏️ Course developed by @TkinterPython

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:09:07) Labels and Buttons
⌨️ (0:19:59) CheckButtons
⌨️ (0:29:50) Resizing Buttons
⌨️ (0:35:46) Combo Boxes
⌨️ (0:42:52) Entry Boxes
⌨️ (0:48:58) Floodgauge
⌨️ (0:58:29) Date Entry
⌨️ (1:08:37) Frames and Labels
⌨️ (1:14:31) Menu Buttons
⌨️ (1:23:50) Meters
⌨️ (1:37:53) Notebooks
⌨️ (1:44:13) Progress Bars
⌨️ (1:59:24) Radio Buttons
⌨️ (2:10:46) Sliders
⌨️ (2:19:05) Scrollbars
⌨️ (2:24:58) Separators and Sizegrips
⌨️ (2:31:19) Spinboxes
⌨️ (2:39:01) Treeview
⌨️ (2:45:52) Message Boxes
⌨️ (2:57:30) Color Chooser
⌨️ (3:05:52) Scrolled Text
⌨️ (3:12:08) Scrolled Frame
⌨️ (3:17:39) Toast Messages
⌨️ (3:23:14) Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news