The best way to take YouTube notes directly to Notion Take YouTube notes, capture screenshots, and sync YouTube playlist with Notion Snipo is the best way to take video notes directly to the Notion pages in click
This extension enables you to: โ take clickable timestamped YouTube notes โ capture screenshots on videos and elevate your learning โ seamless sync YouTube videos with Notion (sync title, chapters, and YouTube playlist) โ organize your videos into notebooks with index for the playlist in Notion โ keyboard shortcuts (Speed up and down, seek backward and forward, pause, timestamp note, capture screenshot, etc.) โ mark as finished on notion page โ More Tech-friendly than ReClipped and Slid.cc โ More User-friendly than Askify and Transnote
Snipo is a notebook for online courses, enabling you to learn and study effectively across the web on any platform(Youtube, etc.) to Notion
Compatible with other great extensions, Notion Web Clipper, Save to Notion, Tailored-Notion, and Zorbi.
Snipo is available for free! We're working on Obsidian and Udemy integration and going to launch it in Q1 2023
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I'm excited to announce that I just released a new update for my extension Snipo for video note-taking directly to Notion! I've put a lot of hard work into improving the functionality and user experience, and I'm eager to share the latest features with you. Source: over 2 years ago
Yes, it is currently restricted by YouTube and Notion on the extension side. You can block access on the browser side, too: https://workspacetips.io/tips/chrome/control-which-sites-your-chrome-extensions-can-access But please don't block https://snipo.io/ domain because it can have an impact on the authorization. I collect data for analytics(mixpanel) to improve the extension's content, features, and overall... Source: almost 3 years ago
I've built a Notion extension to take video notes from YouTube to Notion in one click. It's called Snipo. I've created a short video tutorial to show in action: https://www.youtube.com/watch?v=eb9AK-zzKXc It already has more 15 000 views. Source: almost 3 years ago
A neural network is essentially an algorithm that uses weights and activation functions, which allow it to recognise patterns in the most complicated data. Try it out here! - Source: dev.to / 3 months ago
I did a research project on this a while back - and when it comes to understanding deep network learning rate, regularization, hidden layer effects, and activations, I don't think anything is better than [this little web... - Source: Hacker News / about 1 year ago
Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / over 1 year ago
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / almost 2 years ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / about 2 years ago
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