@miataggart: #fyp #BiggestFan #elfMagicAct #blonde

Mia Taggart

Open In TikTok:

Region: US

Saturday 25 July 2020 16:17:07 GMT

6421

560

6

12

Music

Download

No Watermark .mp4 (2.14MB) No Watermark(HD) .mp4 (1.55MB) Watermark .mp4 (0MB) Music .mp3

Comments

Maiwand :

👻 maiwand103 shooters shoot!!!!

2020-07-25 18:00:43

0

mads <3 :

fyp

2020-07-25 18:08:04

0

keenan :

😎

2020-07-25 18:09:48

0

gianna cancela🪩🍒🎱 :

fyppp

2020-07-25 18:20:05

0

Tampa FL Barber🌴 :

baee

2020-07-25 18:39:45

0

To see more videos from user @miataggart, please go to the Tikwm homepage.

Other Videos

Kurdisch dress in red inpo with gold ❤️ #dresses #style #kurdistan #gold #red

Kurdisch dress in red inpo with gold ❤️ #dresses #style #kurdistan #gold #red

➡️ 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

Best friend❤️#justinhubner #ivarjenner #timnasindonesia #kitagaruda🇮🇩🦅 #fouryoupage

Best friend❤️#justinhubner #ivarjenner #timnasindonesia #kitagaruda🇮🇩🦅 #fouryoupage

rust wasilisc #rust

rust wasilisc #rust

طب اجيبلك ورد و خاتم. ❤🌚✨ #اغاني #foryou #viral

طب اجيبلك ورد و خاتم. ❤🌚✨ #اغاني #foryou #viral

Beauty catches eyes, personality catches hearts. #beautyandpersonality #thatgirl #cleangirl #fyp #prettygirl|Pretty today, pretty tomorrow, pretty forever. |Just a girl with a good vibe. |Too busy glowing to care. |Smile because it looks good on you. |She’s not perfect, but she’s real. |Just a girl with a good vibe. |Confidence level: 100% |I’m not for everyone, and that’s okay. |Should I post more like this? |Rate this look 1–10. |You stayed. I like that. |I was hoping you’d see this. |Don’t be shy, say hi. |Maybe this is your sign to follow. |You look familiar. Have we met before? |I’ll remember the ones who follow edearly. |Come back tomorrow, I’ll wear something different. |You can keep scrolling… or stay a little longer. |I think you just found your new favorite account. |If you smiled, you have to follow now. |I made this one for the quiet viewers. |Not everyone gets this side of me. |You’re still here, so we might as well be friends. |I’m curious who keeps coming back. |Maybe we were supposed to meet on your FYP. |Day 1 of posting until you remember my face. | Day 1 of posting until you remember my face. |A different look every day. |Come back tomorrow for part two. |One outfit, one mood, every day. |Building my little corner of TikTok. |The next look is better, I promise. |Which style should become my signature? |I’m trying something new today0. |Follow and help me choose tomorrow’s look. |This is your invitation to stay for the next one.

Beauty catches eyes, personality catches hearts. #beautyandpersonality #thatgirl #cleangirl #fyp #prettygirl|Pretty today, pretty tomorrow, pretty forever. |Just a girl with a good vibe. |Too busy glowing to care. |Smile because it looks good on you. |She’s not perfect, but she’s real. |Just a girl with a good vibe. |Confidence level: 100% |I’m not for everyone, and that’s okay. |Should I post more like this? |Rate this look 1–10. |You stayed. I like that. |I was hoping you’d see this. |Don’t be shy, say hi. |Maybe this is your sign to follow. |You look familiar. Have we met before? |I’ll remember the ones who follow edearly. |Come back tomorrow, I’ll wear something different. |You can keep scrolling… or stay a little longer. |I think you just found your new favorite account. |If you smiled, you have to follow now. |I made this one for the quiet viewers. |Not everyone gets this side of me. |You’re still here, so we might as well be friends. |I’m curious who keeps coming back. |Maybe we were supposed to meet on your FYP. |Day 1 of posting until you remember my face. | Day 1 of posting until you remember my face. |A different look every day. |Come back tomorrow for part two. |One outfit, one mood, every day. |Building my little corner of TikTok. |The next look is better, I promise. |Which style should become my signature? |I’m trying something new today0. |Follow and help me choose tomorrow’s look. |This is your invitation to stay for the next one.

About

Robot
API

Legal

Privacy Policy