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@kermelos21: #ሳውል #ኦርቶዶክስ⛪ተዋህዶ⛪ለዘለዓለም🙏ትኑር🙏 #ኢትዮጵያ_ለዘለዓለም_ትኑር🇪🇹🇪🇹 #ኦርቶዶክስ_ተዋህዶ_ፀንታ_ለዘለዓለም_ትኑር @✞︎𝗠𝗮𝗵𝗹𝗲𝗧-𝗭-ኦርቶዶክስ⛪️☦️🛐 @Lozawit7🇮🇱☦️🇪🇹☦️ 🇮🇱🇮🇱

@ቀርሜሎስ 27
@ቀርሜሎስ 27
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Region: ET
Tuesday 01 September 2026 15:13:42 GMT
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cr_edit1012
𝖈𝖗⁷ 𝖊𝖉𝖎𝖙𝖟 🅲 🅴 :
2026-09-01 15:20:04
1
tadeseageze997
መድሀኒአለም መመኪያየ :
ቀጣዩን ላክልን
2026-09-21 09:57:57
0
onnee.onnee80
Onnee :
ameen 🙏 🙏 ameen 🙏
2026-09-02 13:53:43
0
hawan012
✨Hewan ❤️‍🩹☦️ :
🥺🥺🥺🙏🙏🙏🙏
2026-09-01 15:17:39
1
user5073511410804
የ ደንግል ልጅ🙏🙏 :
🥰🥰🥰🥰🥰🥰🥰
2026-09-18 18:02:22
0
user9616620309288
ገሊላ :
🥰🥰🥰🥰
2026-09-18 16:41:15
0
zemen510
zemen :
@🥰🥰🥰🥰
2026-09-18 01:35:00
0
bokii.nagasaa
Kiyyaa kiyyaa :
[Heartwarming][Heartwarming][Heartwarming]
2026-09-16 19:05:44
0
zakozakiman103
zako zaki man :
🤲🤲🤲
2026-09-14 17:50:31
0
be23re
neby bereket alemayehu :
🥰🥰🥰🥰🥰🥰
2026-09-02 21:34:42
0
hewan.327
፪፩ :
🥰🥰🥰🥰🥰
2026-09-02 15:23:12
0
sela.boy59
sela boy :
🥰🥰🥰
2026-09-02 12:39:06
0
betuutaa
betuutaa :
❤️❤️❤️
2026-09-02 05:54:59
0
estifanos.yoseph0
@estifanos yoseph :
🥰🥰🥰
2026-09-01 18:24:42
1
lozawityeselase7
Lozawit7☦️🇮🇱 :
❤️❤️❤️
2026-09-01 16:27:33
1
To see more videos from user @kermelos21, please go to the Tikwm homepage.

Other Videos

মেনশন দেন আপনার বন্ধু কে 😂😂(4k memes) #shorts #comedy #cartoon #animation
মেনশন দেন আপনার বন্ধু কে 😂😂(4k memes) #shorts #comedy #cartoon #animation
➡️ Part 10 of learning ML code from scratch: How does an AI see things? Step 1, pixels. Every picture is a grid of pixels, and every pixel is one number for its brightness, 0 for black and 1 for white. Ours is 16 by 16. Step 2, the input. Put the rows one after another and you get 256 numbers. That list is everything the model ever sees of the picture. Step 3, ten neurons, one for every digit. Each one is the neuron from part 2. It multiplies every pixel by its own weight and adds everything up into one score. For our eight, the eight neuron scores 5.66. Step 4, softmax turns the ten scores into chances that add up to 100 %. The eight gets 90 %, and the zero comes second with 4 %. Step 5, learning. All 2,560 weights start at zero, so every digit gets 10 %. Then the model studies 3,000 example digits in three rounds, and after each one the blame from part 9 nudges every weight a tiny bit. Step 6, the best part. Put the 256 weights of one neuron back into the shape of the picture and you can see what it learned to look for. Green means a bright pixel there counts for the digit, red means it counts against it. The zero neuron learned a green ring and a red middle. Step 7, why the red matters. On the ring alone, the zero neuron would score 5.85 for our eight and beat the eight neuron. The crossing of the eight lands on the red middle and costs it 3.22 points. Switch the red off and all 50 eights in the test get called a zero. The result: 490 of 500 digits it had never seen, read correctly, with nothing but multiplication and addition. Half of the 10 mistakes are fours and nines mixed up. Real vision models stack many layers of these. The first layers find edges and small strokes, and the deeper ones build loops, faces and cars. Every number in the video comes from a real run of the code, and the video checks its own claims before it renders. The scores must match to nine decimal places, and the 490 of 500 and the 50 of 50 must match exactly, otherwise nothing renders. #machinelearning #computervision #neuralnetworks #python #coding
➡️ Part 10 of learning ML code from scratch: How does an AI see things? Step 1, pixels. Every picture is a grid of pixels, and every pixel is one number for its brightness, 0 for black and 1 for white. Ours is 16 by 16. Step 2, the input. Put the rows one after another and you get 256 numbers. That list is everything the model ever sees of the picture. Step 3, ten neurons, one for every digit. Each one is the neuron from part 2. It multiplies every pixel by its own weight and adds everything up into one score. For our eight, the eight neuron scores 5.66. Step 4, softmax turns the ten scores into chances that add up to 100 %. The eight gets 90 %, and the zero comes second with 4 %. Step 5, learning. All 2,560 weights start at zero, so every digit gets 10 %. Then the model studies 3,000 example digits in three rounds, and after each one the blame from part 9 nudges every weight a tiny bit. Step 6, the best part. Put the 256 weights of one neuron back into the shape of the picture and you can see what it learned to look for. Green means a bright pixel there counts for the digit, red means it counts against it. The zero neuron learned a green ring and a red middle. Step 7, why the red matters. On the ring alone, the zero neuron would score 5.85 for our eight and beat the eight neuron. The crossing of the eight lands on the red middle and costs it 3.22 points. Switch the red off and all 50 eights in the test get called a zero. The result: 490 of 500 digits it had never seen, read correctly, with nothing but multiplication and addition. Half of the 10 mistakes are fours and nines mixed up. Real vision models stack many layers of these. The first layers find edges and small strokes, and the deeper ones build loops, faces and cars. Every number in the video comes from a real run of the code, and the video checks its own claims before it renders. The scores must match to nine decimal places, and the 490 of 500 and the 50 of 50 must match exactly, otherwise nothing renders. #machinelearning #computervision #neuralnetworks #python #coding
#เสกโลโซ
#เสกโลโซ
ချစ်စရာကောင်းတဲ့ ဝမလေးတွေရဲ့ အကပြမယ်🥰🥰💞
ချစ်စရာကောင်းတဲ့ ဝမလေးတွေရဲ့ အကပြမယ်🥰🥰💞
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Muốn biết mùa nào dùng gì, hãy xem ngay video này nha các bác 😍🧐 #nuochoa #apaniche
Muốn biết mùa nào dùng gì, hãy xem ngay video này nha các bác 😍🧐 #nuochoa #apaniche

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