This means freedom to express all your feelings, not just some. Especially the ones you're afraid of sharing because of shame or confusion.
Out of all the technological hacks I've used to better the quality of my life, the single most painful yet effective way to increase wellbeing, throw people out of your life who do not align with your values.
Don't wait; the soon, the better.
This means freedom to express all your feelings, not just some. Especially the ones you're afraid of sharing because of shame or confusion.
The irony of maturation.
Neither relationship is gone, I hope, but the ground in which those relationships were changing, partnerships, agreements, deepening of commitment have vanished
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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!
Thought I'd put a thread together of some resources & people I consider really valuable & insightful for anyone considering or just starting out on their @SorareHQ journey. It's by no means comprehensive, this community is super helpful so no offence to anyone I've missed off...
1) Get yourself on the official Sorare Discord group https://t.co/1CWeyglJhu, the forum is always full of interesting debate. Got a question? Put it on the relevant thread & it's usually answered in minutes. This is also a great place to engage directly with the @SorareHQ team.
2) Bury your head in @HGLeitch's @SorareData & get to grips with all the collated information you have to hand FOR FREE! IMO it's vital for price-checking, scouting & S05 team building plus they are hosts to the forward thinking SO11 and SorareData Cups 🏆
3) Get on YouTube 📺, subscribe to @Qu_Tang_Clan's channel https://t.co/1ZxMsQR1kq & engross yourself in hours of Sorare tutorials & videos. There's a good crowd that log in to the live Gameweek shows where you get to see Quinny scratching his head/ beard over team selection.
4) Make sure to follow & give a listen to the @Sorare_Podcast on the streaming service of your choice 🔊, weekly shows are always insightful with great guests. Worth listening to the old episodes too as there's loads of information you'll take from them.
1) Get yourself on the official Sorare Discord group https://t.co/1CWeyglJhu, the forum is always full of interesting debate. Got a question? Put it on the relevant thread & it's usually answered in minutes. This is also a great place to engage directly with the @SorareHQ team.
2) Bury your head in @HGLeitch's @SorareData & get to grips with all the collated information you have to hand FOR FREE! IMO it's vital for price-checking, scouting & S05 team building plus they are hosts to the forward thinking SO11 and SorareData Cups 🏆
3) Get on YouTube 📺, subscribe to @Qu_Tang_Clan's channel https://t.co/1ZxMsQR1kq & engross yourself in hours of Sorare tutorials & videos. There's a good crowd that log in to the live Gameweek shows where you get to see Quinny scratching his head/ beard over team selection.
4) Make sure to follow & give a listen to the @Sorare_Podcast on the streaming service of your choice 🔊, weekly shows are always insightful with great guests. Worth listening to the old episodes too as there's loads of information you'll take from them.
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The same people who helped create the virus, also helped to create the vaccines...
Moderna partnered with French Pasteur Institute in 2015 to develop mRNA vaccine technology.
Pasteur Institute partnered with the Wuhan P4 Laboratory in 2017 along with the Merieux Foundation to study emerging viruses...
https://t.co/yFsHwrNYaK
https://t.co/9M5lydBKhM
Nobel prize winning scientist Luc Montagnier asserts that Sars-Cov-2 is man-made and originated from the Wuhan Institute of Virology.
Montagnier did extensive work with the Pasteur Institute in France which was partnered with the Wuhan P4.
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Their research included "PATHOGENS CARRIED BY BATS" that provoke respiratory diseases.
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https://t.co/gVwpT0ssqI