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Experiment ⬇️ „Dubai is empty“ When I post a picture or video, I have already left, for my security When I post, I make sure I choose a moment and angle, with no faces visible or edit them out of the content, for their security For the same security...

17,337 Aufrufe • vor 5 Monaten •via X (Twitter)

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MLP in PyTorch by hand ✍️ ~ 7 steps walkthrough below Goal: fill in every blank in the PyTorch code to build a multi-layer perceptron. 1. Given Let us start with a code template on the left and the network it is supposed to build on the right. Every blank in the code can be worked out from the picture. 2. Linear layer We count: 3 features in, 4 features out. So the weight matrix is 4 by 3. There is an extra column for the biases, which means bias = T. 3. ReLU Let us apply the activation. ReLU crosses out the negatives, so -1 becomes 0. 4. Linear layer The input size is 4, because that is what the previous layer put out. The output size is 2. A 2 by 4 weight matrix, and this time no extra column, so bias = F. 5. ReLU We cross out the negatives again. 6. Linear layer Two features in, five out. A 5 by 2 weight matrix, with a bias column, so bias = T. 7. Sigmoid Let us finish. Sigmoid squashes the raw scores (3, 0, -2, 5, -5) into probabilities between 0 and 1. You have just implemented a three-layer deep neural network by hand. ✍️ == Story == Three years ago I gave this exercise to my students, to connect the code to the math. They found it odd. Every other AI course they were taking lived inside a Jupyter notebook, and here I was handing out paper. Three years later, my colleagues are the ones rushing to move their materials to paper. The exercise has not changed. Paper still asks the one thing a notebook lets you skip: do you actually understand what the code is doing? If you can tell me why the weight matrix is 4 by 3, and why bias is F on the second layer, you understand nn.Linear better than someone who has been copy-pasting it for a year. 💾 Save this post! #AIbyHand #PyTorch #DeepLearning

Tom Yeh

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I really learnt from the best If your content is averaging 700 views it’s of two things 1. It’s either you did not warm up your account well to the hashtag you are posting with 2. You have a general content problem , you need to find content that has been pushed in the last 1 month max and post I have 4 iPhones , 3 iphone 8 and 1 iPhone 7 , I post content on all everyday been doign this for the past 2 years I use the iPhone 7 to post for one of my brands And I use the 3 iPhone 8 to post for one brand The most important thing is , find what works for one phone and spread it across others It took me years to learn this One big lesson, don’t tell your vpn to X , you will hate yourself , not telling people the vpn I am using so they don’t overcrowd it If you post a content in your main niche, you should be averaging 1k+ - 5k+ views Trust me it’s a lot of work I also started posting on instagram and YouTube and they work differently , don’t post the same video content on both without observing hashtags I also posted on lemon8 , one of my post average 10k+ views Daily I get around 50 users , I have gone viral several times, one of my biggest virality is 700k+ views I really want to buy more iPhone 7 and 8 , It costs me arround $50-70 for each locally here Recently I have been thinking of how do I get clippers locally to do this and train them but it looks like it’s hard because you have to train them Taking advice from the legend Alex Nguyen I have not made a lot but trust me , it works This is proof from one of the apps , we ask during onboarding where they find us

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For 6 months I woke up at 5 AM to catch Asian markets on Polymarket. During that time I lost my girlfriend, gained 8 kg, and got used to drinking coffee instead of breakfast Then I wrote an agent that monitors everything for me while I sleep. In the 1st month income went up 15% and I finally deleted the 5 AM alarm Turns out a half-asleep human trades worse than a 200-line script I thought discipline meant waking up early. In reality it was just stubbornness that cost me money and health. When I finally sat down to build the agent it became clear why Here is what is under the hood: 1. Sentiment analysis powered by Claude. Every 15 minutes the agent runs a feed from 40+ Asian sources: Reuters Asia, Nikkei, South China Morning Post, Yonhap 2. NLP tone classification. It compares sentiment shifts to open markets on Polymarket through the API, and if the news has already dropped but the odds have not reacted yet that is the entry window 3. Kelly criterion. A mathematical formula for position sizing instead of my usual "I will bet more, feeling lucky" 4. A hard stop at 5% of the deposit per trade so that 1 mistake cannot kill the entire account 5. A cooldown between entries so the agent does not stack up a cluster of correlated positions These are exactly the rules I was missing at 5 AM. I knew them perfectly well but consistently ignored them because on adrenaline and caffeine every bet felt like an "obvious opportunity" When I ran a backtest on my old trades it was genuinely painful: 60% of the bets I placed by hand in a half-asleep state would have been rejected by the agent for failing the expected value filter Those were the exact ones dragging the whole result down When I was building my agent I needed a benchmark. A wallet that already trades on similar logic so I could compare my results to someone else's Found 1 that works almost like a mirror of what I described: same Asian markets, same cold calculation without emotion. I still keep it bookmarked and periodically check how it handles the same situations: That is actually the wallet I started with when testing auto-copying through a bot before I launched my own agent. A useful thing if you want to see how a strategy works on someone else's example first and only then build your own:

Blaze

126,874 Aufrufe • vor 5 Monaten

Wondering if you are “quad dominant” in your throw and if you should change it? Maybe you shouldn’t 🤷‍♂️ A coach’s post coming from Austin Roark 🚀⠀⁠ -⠀⁠ One question I get from a lot of athletes is whether they should change their lower half because their knee is over their toe during their loading phase down the mound. ⠀⁠ -⠀⁠ The biggest thing that I look for when trying to figure out if it is an issue or not is to see how they are able to get out of that position. Some guys are able to leverage and rotate from that position extremely well, which then I would say that it’s not an issue.⠀⁠ -⠀⁠ On the other hand, there are some guys who will get out of this position by driving extension out of their back leg, killing their ability to rotate their pelvis and get it in an open position into landing.⠀⁠ -⠀⁠ This is when I would suggest trying to make a change. I think a lot of people jump into certain ideologies that you shouldn’t do certain things because it’s “inefficient” or it looks “wrong”. ⠀⁠ -⠀⁠ Take a look at these pitchers shown in the video. All 3 of these high level arms have some degree of knee flexion over their toe. Now, granted, they all have insane levers to help them, but the way they are moving is what makes them efficient in how they throw. ⠀⁠ -⠀⁠ I think if you told Dustin May that he had to hold a vertical shin down the mound, it would be a disaster and mess a lot of things up upstream that would impact him in a negative way.⠀⁠ -⠀⁠ The big takeaway here is that there are no absolutes. One thing that may look inefficient to you could be the thing that makes someone else very efficient.⠀⁠ -⠀⁠ When trying to figure out if you should change something about someone's delivery, make sure to look at the entire unit as a whole and don’t jump into any quick changes.

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25,070 Aufrufe • vor 8 Monaten