Google Developers

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5 712
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23 Aug 2007
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8 days 1:15:49
2023 Solution Challenge: Global kick-off event
We invite university students around the world to join the 2023 Solution Challenge with Google Developer Student Clubs to solve for one or more of the United Nations 17 Sustainable Development Goals
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10 days 0:38
Google for Startups Accelerator: Climate change #Shorts
Watch the full version here → goo.gle/3J0J4Xv New startup accelerator focused on climate change → goo.gle/3H2FJWf Stay tuned every Monday for the latest developer news across
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Building community with GDG Lawrence
Meet Roman Jaquez from Lawrence, MA.
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15 days 1:42
Hash Code Hubs are back for 2023 - Apply to host a Hub!
Are you looking for opportunities to connect with your local developer community and grow your skills? Join a Hash Code Hub! Do you want to demonstrate your leadership abilities?
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3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser
Here you will learn how to load and use the popular MoveNet model, an advanced pre-trained model for pose estimation by research team's at Google.
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16 days 10:51
3.6.1: Using advanced pre-trained Web ML models - Part 1: TensorFlow Hub usage
In this section you’ll learn how to load models from a site known as TF-hub, which many folk from the wider TensorFlow community have deployed their pre-trained models to.
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3.5: Using a simple raw TensorFlow.js pre-trained saved model in the browser
Another way to use pre-made Web ML models Is simply just the raw trained model itself, with no JavaScript class wrapped around it that typically hides the inner workings, to make it easier to use
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16 days 16:37
3.4: Tensors in Tensors out
Learn all about Tensor fundamentals in this video before you learn how to use raw TensorFlow.js models.
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16 days 14:46
3.3.6: Make your own web based smart camera in JS - Part 6
Finally learn how to add and use the COCO-SSD machine learning model to your JavaScript code and utilize its output to draw custom bounding boxes for any interesting objects found in a given canvas
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3.3.5: Make your own web based smart camera in JS - Part 5
It is time to move on and actually write code in JavaScript.
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3.3.4: Make your own web based smart camera in JS - Part 4
In this video you will learn how to set up the HTML skeleton and add default styles so things render correctly in later steps - vanilla HTML and CSS essentially. Follow along.
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3.3.3: Make your own web based smart camera in JS - Part 3
This video covers the setup of the coding environment you will use to follow along.
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3.3.2: Make your own web based smart camera in JS - Part 2
In this video we will cover how to get setup to follow along with the creation of a smart camera and also explain what COCO-SSD actually is and the benefits of using a pre-made TensorFlow.js machine
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3.3.1: Make your own web based smart camera in JS - Part 1
In this part of the course, you will use the COCO-SSD pre-trained model to draw bounding boxes around common objects it can detect in a given image such that you could replicate the capabilities of
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16 days 12:10
3.2: Selecting an ML model to use
Now you know what pre-trained models are, how do you select one to use in a real world project?
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3.1: What are pre-trained models?
Using pre-trained models can allow you to prototype an idea faster, and in some cases may even be good enough for production.
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16 days 1:04
Calling student devs! 2023 Solution Challenge is here
Register today → goo.gle/SolutionChallenge The 2023 Solution Challenge season is upon us, presented by Google Developer Student Clubs!
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2.5: 3 ways to use Machine Learning on the web with TensorFlow.js
Learn the 3 key ways to work with the TensorFlow.js library to reuse existing models or create custom machine learning models from a blank canvas.
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2.4: What is TensorFlow.js? (JavaScript + Machine Learning)
A history of and introduction to the TensorFlow.js library. Learm what the benefits are of performing Machine Learning in JavaScript client side in the browser vs cloud based models in Python or Node.
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2.3: How to train Machine Learning systems?
Learn at a high level how machine learning models work and how to train them and gather the most suitable data to have a higher chance of success.
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2.2: Demystifying Machine Learning
In this sub-chapter you will learn about what ML models actually are, the types of machine learning that are most common, whilst also gaining a high level understanding of how they are trained to
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2.1: Artificial Intelligence, Machine Learning, and Deep Learning
Learn the foundations and definitions for some of the industry's most used buzzwords like Artificial Intelligence, Machine Learning, and Deep Learning and what they actually refer to.
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1.3: What will you learn in this Web ML course?
Who is the course aimed at? Everyone essentially!
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1.1: Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js
Welcome to a brand new course by Google's Web ML Lead, Jason Mayes, that teaches you everything you need to know about machine learning in JavaScript!
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Code Jam 2022 World Finals problem walkthrough - Triangles
Join Software Engineers at Google for a problem walkthrough and analysis on “Triangles” from the 2022 Code Jam World Finals.
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36 days 10:17
Code Jam 2022 World Finals problem walkthrough - Schrödinger and Pavlov
Join Software Engineers at Google for a problem walkthrough and analysis on “Schrödinger and Pavlov” from the 2022 Code Jam World Finals.
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We are Google Developers Europe
Google Developers has a community for you, whether you're a newcomer or highly experienced! Get a glimpse of what Google Developer community events, workshops, and meetups look like.
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39 days 0:36
Introducing passkeys in Chrome #Shorts
Watch the full version here → goo.gle/3hx9tkp Introducing passkeys in Chrome → goo.gle/3HNYHkj Stay tuned every Monday for the latest developer news across Google.
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