@soundsofk1: Adom Wura @Assah Augustina #worship #gospel #GodIsGood

SoundsofKusi🎶

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Region: GH

Sunday 09 November 2025 18:07:12 GMT

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Comments

afiajemimah :

Who’s in 1st January 2026💃🙌😭

2026-01-01 01:05:40

40

kofi :

indeed adom wura,you're faithful God

2025-11-10 19:38:04

35

Chidimma_ikenna :

Thank you prescious father Amen ,More than enough

2025-12-31 12:49:47

10

_Kobbyshay⚡️🌺 :

Why am I crying 😢

2026-01-01 02:20:08

7

Êmêrãld💚 :

I have passed my wassce oh 😊 forever grateful lord 🙏🥺🕊️

2025-11-30 16:25:07

8

Ruth Kumiwaah :

Thank you Jesus for my family Amen

2025-11-10 13:56:25

8

Mike :

With God All Things Are Possible 🕊️🔥🤲🙏

2025-12-27 06:39:33

8

Victoria Boakye Ansah :

Amen and Amen in Jesus name Amen and amen 🙏 🙌 👏

2025-12-08 22:35:50

5

Mickey Roger :

in all things give thanks to GOD Almighty 🙏🙏😭

2025-12-04 03:29:21

3

MaameEsi :

Amen 🙏🙌🙌🙏

2025-12-06 18:35:45

8

🎀Derly 🦋🌸 :

this song err . adom wura , adom wura adom wura ,adom wura ,adom wura wo ni me edi no yie🙏🙏🙏🙏

2025-11-28 20:52:29

5

Michy 😘💋☆♤ :

Adom Wura boa me 🙏🙏

2025-11-12 01:23:16

15

Twister_queenzy :

The song hits differently 🥺

2025-12-31 17:35:32

11

TIO 🙏👷‍♂️🏗 :

Thank you Jesus Christ

2025-11-10 11:04:24

5

💪💞 :

Amen and thank you so beautiful

2025-11-09 22:49:29

5

Miss❤️💍💖catis🦋💝💞 :

Amen 🙏🙏🙏🙏

2025-11-10 15:55:47

5

frances :

pls name of d song

2026-01-01 02:05:43

0

City boi😎 :

Amen 🙏🙏🙏

2025-11-29 10:37:32

1

Nafisa :

Thank for lord 🙏 ❤

2026-01-01 00:12:41

2

Afia sewaa💓 :

Thank you lord

2025-12-31 11:06:38

2

mimibernice236 :

Amen 🔥🔥🔥🔥

2025-12-08 16:40:15

1

albertaclottey12 Albie :

Amen 🙏 🙏 🙏 🙏 🙏

2025-12-03 21:34:26

1

Abeku :

ADOM WURA AMPA 🙏🙏

2025-11-12 14:21:45

4

APOSTLE LONDON AMOS :

Amen 🙏 🙏 🙏

2025-12-01 23:14:19

1

dianatwum2 :

Thank you Jesus

2025-12-03 09:39:02

1

To see more videos from user @soundsofk1, please go to the Tikwm homepage.

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Backpropagation is the algorithm that tells a neural network how each weight and bias contributed to its mistakes. 🧠 Here is exactly how it works: 1️⃣ Make a Prediction: The network processes the inputs using its current weights and biases. 2️⃣ Calculate Loss: A loss function measures how far the prediction is from the correct answer. 3️⃣ Propagate the Error: Starting from the output layer, the error flows backward through the network, computing how much each weight and bias contributed to the loss. 4️⃣ Compute the Gradient: This produces one derivative for every parameter, showing which direction reduces the loss the fastest. 5️⃣ Update the Parameters: Gradient descent nudges every weight and bias a small step in the direction that reduces the loss. 6️⃣ Repeat: The network repeats steps 1 through 5 over and over until its predictions become increasingly accurate. 📈 A few key things to know: ✅ Backpropagation computes the gradients—it does not update the weights itself. ✅ Gradient descent uses those gradients to actually update the weights and biases. ✅ The chain rule makes it possible to efficiently compute gradients for every parameter, even in very deep neural networks. Why it matters: ⚠️ Without backpropagation, modern neural networks wouldn't be able to learn from data. ⚠️ It makes training networks with thousands—or even millions—of parameters computationally feasible. #NeuralNetworks #Backpropagation #DeepLearning #AIEducation #MachineLearning

Backpropagation is the algorithm that tells a neural network how each weight and bias contributed to its mistakes. 🧠 Here is exactly how it works: 1️⃣ Make a Prediction: The network processes the inputs using its current weights and biases. 2️⃣ Calculate Loss: A loss function measures how far the prediction is from the correct answer. 3️⃣ Propagate the Error: Starting from the output layer, the error flows backward through the network, computing how much each weight and bias contributed to the loss. 4️⃣ Compute the Gradient: This produces one derivative for every parameter, showing which direction reduces the loss the fastest. 5️⃣ Update the Parameters: Gradient descent nudges every weight and bias a small step in the direction that reduces the loss. 6️⃣ Repeat: The network repeats steps 1 through 5 over and over until its predictions become increasingly accurate. 📈 A few key things to know: ✅ Backpropagation computes the gradients—it does not update the weights itself. ✅ Gradient descent uses those gradients to actually update the weights and biases. ✅ The chain rule makes it possible to efficiently compute gradients for every parameter, even in very deep neural networks. Why it matters: ⚠️ Without backpropagation, modern neural networks wouldn't be able to learn from data. ⚠️ It makes training networks with thousands—or even millions—of parameters computationally feasible. #NeuralNetworks #Backpropagation #DeepLearning #AIEducation #MachineLearning

#GulsanamMamazoitova #غولسانام_مامازويتوفا @Gulsanam Mamazoitova 🫶🏻 👑 @Gulsanam.Mamazoitova✅ @Gulsanam Mamazoitova @NAVOMUSIC.UZ @azizjonofficial @[+𝐅𝐀𝐑𝐑𝐔𝐇+] @Xeyyam 02 @fotima opa @Bo'stona @jo'raye ❤️👸🏻👑

#GulsanamMamazoitova #غولسانام_مامازويتوفا @Gulsanam Mamazoitova 🫶🏻 👑 @Gulsanam.Mamazoitova✅ @Gulsanam Mamazoitova @NAVOMUSIC.UZ @azizjonofficial @[+𝐅𝐀𝐑𝐑𝐔𝐇+] @Xeyyam 02 @fotima opa @Bo'stona @jo'raye ❤️👸🏻👑

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