Love digging up in The Dom Bottom ✈️DC 9/10-9/13 ass cheeks, his hole gets so 💦 #bear #daddybear #beefymen #beefy #beefybear #beefydaddy #pawb #bb #rawislaw #musclebear #hungtop #thickmen #thickbottom
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![Insane video shows the drastic change in water level and devastation caused by the flooding in Western NC. Jay-Paul Thibault in Burnsville, NC filmed how quickly the water rose and the destruction that followed. Unfortunately this is the sad reality for hundreds if not thousands of families. Please keep praying, keep giving, keep sharing, and keep helping. I'll link to his GoFundMe to rebuild in the next post. 0:02 - The Distance From the River to the Bottom of the Bridge is 22 Feet Thu 9/26 - 8:48 AM 0:09 - "The water's already up about 5 feet I'm guessing... so it's pretty intense." Fri 9/27 - 7:34 AM 1:27 - "This is the road [completely under water] and there's no crossing on 19W." Fri 9/27 - 8:14 AM 1:48 - "I was just told this flood is going to exceed the flood of 1916 which dwarfed the flood of 1977." (The water is at the 1000-year level) 3:46 - "I think I'm going to lose the bridge." Fri 9/27 - 8:27 AM 5:56 - "Well there's not much I can do about it but the bridge is gone. I've got no way over there until we repair that." Fri 9/27 - 8:37 AM 6:28 - "So I'm safe and I'm at the Fire Station. We're gonna wait it out here." Fri 9/27 - 8:49 AM 6:56 - "We've got some trucks that got swept away and this is getting pretty crazy... there's the house that was just refinished and that looks like it could get swept away. I hope it doesn't. That's Jeff's house. I'd say we're close to 20 feet over the regular height of the river." Fri 9/27 - 10:10 AM 8:56 - "So we are now on the roof [on top of trucks in the fire station garage] hanging out watching the river go by and we've got about 6 more feet before it's at our feet here now." Fri 9/27 - 10:42 AM 9:13 - "We are punching our way out of the roof at this point in case the flood continues [cutting a hole in the ceiling with an ax to get to the roof of the fire station]. As you can see, everything in here is floating away." Fri 9/27 - 11:51 AM 9:43 - "Holy sh!t is all I can say [while on top of the roof]. The entire dump station is gone; the building, the trash containers." Fri 9/27 - 12:02 PM 12:08 - "Look at the house. Holy sh!t. That's going downstream... That house is just floating away. Been there for 100 years probably." Fri 9/27 - 3:08 PM 14:35 - "So I found my pickup truck [upside down and completely destroyed]." Fri 9/27 - 3:09 PM 14:47 - "So here's the road, or what's left of it." 16:34 - "All of my building is gone; all the construction I did... everything I own... everything that I built is gone. I don't know how to express this. The whole farm here is gone. This is where I parked my car and we had the bridge and it's just gone. So I guess you start over. I left the goats unlocked and they would've gone up the hill. But everything I've done for the last 2 years is pretty much non-existent."](https://image.24vids.com/tw-1842402412536996300/amplify_video_thumb/1842400545383895041/img/7N2aDBvJTCGgG00b.jpg)
![Dropout by hand ✍️ ~ 10 steps walkthrough below Dropout is the simplest trick in deep learning that actually works: during training you randomly switch neurons off, so the network cannot lean on any one of them. It is two lines of code and almost nobody has worked through what those lines do to the numbers. So I drew and calculated one entirely by hand. Goal: train one pass through a small network with two dropout layers, then run inference with dropout switched off. The network: Linear(2,4), ReLU, Dropout(0.5), Linear(4,3), ReLU, Dropout(0.33), Linear(3,2). = 1. Given = A training set of two examples, X1 and X2, and the weight matrices for all three linear layers. = 2. Draw the first random numbers = Let us draw 4 random numbers, one per neuron in the first hidden layer. Above 0.5 we keep (◯), below we drop (╳). Here that gives [◯, ╳, ◯, ╳]. = 3. Build the first dropout matrix = We turn that pattern into a diagonal matrix. The scaling factor is 1/(1-p) = 2, so a kept neuron gets 2 and a dropped one gets 0. Multiplying by it does both jobs at once: it deletes the 2nd and 4th neurons and doubles the two that survive. = 4. Draw the second random numbers = Let us do it again for the 3 neurons in the next layer, this time against p = 0.33. The result is [◯, ◯, ╳]. = 5. Build the second dropout matrix = We set the diagonal to 1.5 where kept and 0 where dropped. Only the 3rd neuron goes. = 6. Feed forward = Let us run the whole thing top to bottom: one matrix multiplication per layer, ReLU setting the negatives to zero, and the two dropout matrices doing their work in between. The outputs Y come out at the bottom. = 7. MSE loss gradients = We compare Y against the targets Y', subtract, and multiply each element by 2. That is the whole gradient of the mean squared error. = 8. Update the weights = Let us push those gradients back through the network and update the weights (marked in light red). = 9. Deactivate dropout = Training is over, so we set both dropout matrices to the identity. Every neuron is back, and nothing is scaled. = 10. Feed forward again = One more pass, this time on unseen data, to make the prediction. You have just trained and run a network with dropout by hand. ✍️ The outputs: Training outputs Y = [-6, 9; 13, 4] Loss gradients = [-4, 4; 6, -2] Inference outputs = [13, 13; 4, 3] 💾 Save this post! #AIbyHand #Dropout #DeepLearning #NeuralNetworks](https://image.24vids.com/tw-2078846104460783996/ext_tw_video_thumb/2078846092997763074/pu/img/pljAsdaJjvGEEjPE.jpg)
![[RG911Team] The Hidden Ball of Flame: A Shocking 9/11 Revelation Everyone was looking up in horror on September 11, 2001 - and missing something huge. We all saw passenger jets slam into the Twin Towers of the World Trade Center and create enormous fireballs of ignited jet fuel. We all saw both buildings completely collapse from top to bottom an hour or so later. But something unexpected happened much lower that no one has been able to explain. No video evidence of this unusual phenomenon has ever been broadcast on TV. But over the years, the testimonies of several survivors of 9/11 have revealed a new and disturbing narrative. First, there was renowned CBS journalist Carol Marin (Carol Marin). Hours after surviving the collapse of the Twin Towers, she appeared in a news studio, her coat still caked in dust, as she told of a fireball that sprung from the base of one of the towers as the top of the building began to come apart. She said that by sheer luck, she was able to outrun it before it reached her. A fireball - from the base of the tower? This surprising claim doesn’t align with the official 9/11 story, and could be written off as just one person who misremembered due to her traumatic experience. But then there’s CBS reporter Byron Pitts (Byron Pitts). Late that same afternoon, he stated that he and Mika Brzezinski (yes, that one) were near the South Tower when they also witnessed a giant fireball approaching them as the tower came down, and had to flee the flames immediately. Now we have two news reporters with matching stories. But recently, we found a third eyewitness. On 9/11, paramedic Bonnie Giebfried saved lives of disabled WTC workers trying to escape the buildings as debris - and people - fell around them. In an interview recorded a decade later, Giebfried testified that a massive fireball at ground level approached her as the South Tower collapsed - and almost killed her. And then there was NYPD officer Sam Esposito, who was injured as he tried to rescue people in the World Trade Center. While still wearing his hospital gown, he told reporters that he saw the street next to the towers cave in and a fireball erupt from out of the ground. So, this fireball claim has to be taken seriously. But if there were no fires on the lower floors or basement, how was it possible? How could a giant ball of flame emerge from the base of the building when there was no explosive material in that area? Or was there? That’s what we intend to find out. This September, we are meeting with Bonnie Giebfried and other 9/11 survivors and first responders who believe what really happened on 9/11 has been covered up for 25 years. Join us at the Turning the Tide conference in NYC from Sept 10-13, where these brave whistleblowers will speak alongside scientists, architects, researchers and public figures who are exposing this explosive evidence and demanding justice. Because the truth must be followed, wherever it leads. Learn more at and see the comment below ⬇️](https://image.24vids.com/tw-2090980072253792279/amplify_video_thumb/2090979418407874560/img/guxZxc3NaftS5yJ7.jpg)
