@muhammed..32: ويلي لو يدرون #الشـᬽـ꙰🖤ـامي🦅 #عشوائيات #لايكات #تعليقاتكم

الشـᬽـ꙰🖤ـامي🦅
الشـᬽـ꙰🖤ـامي🦅
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Wednesday 23 September 2026 06:50:04 GMT
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hananbatillo
برج السرطان :
هههه طب دريهم 😉😉😉
2026-09-23 18:46:08
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gahzal.m...shaam2019
👑آلـَسُہلـَطآنہہة غًہزلـَ👑 :
2026-09-23 11:25:24
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rrham89
REHAM :
2026-09-24 01:52:25
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user4674462112907
بنت فلسطين 🥰 :
2026-09-23 21:34:41
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lolo24595
user948535057234 :
♥️♥️♥️😘😘😘😘🥰🥰🥰🥰🥰🥰
2026-09-25 18:12:32
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henoooo0
חנין גארושי💕 :
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2026-09-23 13:38:04
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1994lava
لاڤا🦋🌚🌷🍀🍀 :
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2026-09-23 07:02:17
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kerrarturkmanikerk
Muhammad 𓆩313𓆪 𓄌ـ𝑰𝑹𝑨𝑸 :
[يبكي]
2026-09-23 18:51:55
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user0pwrnvc8pg
wasema Basher :
💔💔💔
2026-09-23 23:11:33
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➡️ 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

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