Create a digital "roll" with friends. Take pictures from the roll. You can't see them until: the roll is used up, a time limit expires, or you get to a specific location.
Great thread full of potential https://t.co/jA8h08M48z ideas! 💡
Create a digital "roll" with friends. Take pictures from the roll. You can't see them until: the roll is used up, a time limit expires, or you get to a specific location.
Send a guest a video or audio clip asking a question. Guest replies when able with same medium. Repeat. When done, share produced video/podcast.
A web app to track the progress of your project: ideation, naming, shipping code, launching.
Page can also be a dynamic browser overlay for live streaming.
Have tools for polls, surveys, sharing, launching to various outlets, etc.
If health insurance screws you over, no one has your back but you. Instead, can pay a small monthly fee to a service to take care of BS like this for you should issues arise.
Find local/regional businesses, gyms, co-working, cafés, etc. that offer discounts for digital nomads or van lifers. Akin to Epic Pass.
Send URLs and/or pictures of recipes to service and receive a simple, well formatted/standard book, catalog or cue cards in box of those recipes.
Simple site for displaying a company's first sale (like framed dollar bills in small businesses).
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THREAD: How is it possible to train a well-performing, advanced Computer Vision model 𝗼𝗻 𝘁𝗵𝗲 𝗖𝗣𝗨? 🤔
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
THREAD: Can you start learning cutting-edge deep learning without specialized hardware? \U0001f916
— Radek Osmulski (@radekosmulski) February 11, 2021
In this thread, we will train an advanced Computer Vision model on a challenging dataset. \U0001f415\U0001f408 Training completes in 25 minutes on my 3yrs old Ryzen 5 CPU.
Let me show you how...
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
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Facebook originally a CIA program called "LifeLog".
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Pentagon Kills LifeLog
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Project: Lifelog
— Robert Horan (@Robby12692) December 13, 2018
Started by DARPA in 1999, the goal of Lifelog was to create a database on civilians without their knowledge, and track everything they do.
The project "ended" on Feb 4th, 2004.
Facebook began the exact same day.
The CIA funneled tens of millions into Facebook. pic.twitter.com/r7hwF0v9kh
Pentagon Kills LifeLog