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@hopejoy159: #onthisday #hopejoy159 #jaquelinesangita
JAQUELINE SANGITA
Open In TikTok:
Region: KE
Friday 18 September 2026 15:48:41 GMT
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Music .mp3
Comments
maria :
God please for the sake of my kids
2026-09-20 05:43:33
7
𝑴𝑶𝑯𝑳𝑶𝑮𝑶𝑷𝑬𝑳𝑨 013 :
𝒑𝒂𝒊𝒏𝒇𝒖𝒍 𝒕𝒉𝒊𝒏𝒈 𝒕𝒉𝒆𝒚 𝒅𝒐𝒏'𝒕 𝒏𝒐𝒕𝒊𝒄𝒆 𝒘𝒉𝒂𝒕 𝒘𝒆 𝒂𝒓𝒆 𝒈𝒐𝒊𝒏𝒈 😭😭𝒕𝒉𝒓𝒐𝒖𝒈𝒉
2026-09-20 22:38:36
1
ENTAKANA ECHABUMBI :
And for those who believe in me...I'm trying so hard not to fail you....I promise 🤝😍
2026-09-21 12:23:35
0
Sydney :
title of the song
2026-09-21 18:24:53
0
Elsie Makofane :
yes my god i still with hope itrust i believe haleluya
2026-09-18 16:11:05
3
user4914195074226 :
2026-09-18 20:17:37
2
MOIRALAZA :
amen 🙏 👏
2026-09-20 14:39:22
1
kgomo058 :
Ame
2026-09-19 11:52:17
1
Sabu :
amen
2026-09-20 15:57:29
1
Vely :
Amen
2026-09-20 13:23:53
1
user2206059391053 :
amen
2026-09-21 16:54:53
0
F.A.K :
Amen 🙏🏽🙌🏽
2026-09-19 14:36:07
1
Vincent :
amen
2026-09-20 19:37:23
1
Av. 😍😍😍😍 :
Amen 🙏
2026-09-19 16:13:31
1
shorty :
amen
2026-09-19 13:51:05
1
N J A B U L O 🥹🤭😶🌫️ :
amen amen amen 🙏🙏🙏
2026-09-18 16:14:49
2
porshy porshy😘 :
Amen
2026-09-20 19:15:31
1
BlessingsRiver :
amen
2026-09-18 17:09:20
1
Ben :
Amen
2026-09-20 10:08:29
1
Given :
Amen 🙏🙏🙏
2026-09-21 09:18:56
0
VULE :
2026-09-21 11:06:23
0
Queen 👑 :
🙏
2026-09-20 17:50:08
1
Avela Luzwana :
🥰🥰🥰
2026-09-20 18:30:52
1
Nino Tembe :
😁😁😁
2026-09-20 15:19:04
1
Hansie Adams :
😭😭😭💔💔
2026-09-20 12:30:36
1
To see more videos from user @hopejoy159, please go to the Tikwm homepage.
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➡️Part 7 of learning ML code from scratch: One of the most important concepts that allows our model to bend and understand complex patterns. No linearity anymore. Without this one curve, every neural network would collapse into a linear thing. Every neuron does the same three things. First the sum: each input times its weight, all added up, plus the bias. That gives one number, z. Second the curve: z is plugged into the activation function, and the height of the curve at z is the neuron's output, a. Third the hand over: a is simply the input for the next neuron, times a weight, into the next sum, into the next curve. In the video the numbers are real, taken from the trained XOR network: input 1 and 0, weights minus 5.6 and 5.7, bias 2.9, so z is minus 2.7, the sigmoid turns it into 0.06, and the answer neuron turns that into 0.95, a clear yes. There are many curves, each with a job. Sigmoid squashes everything to between 0 and 1, a confidence. Tanh squashes to between minus 1 and 1. ReLU cuts off everything below zero and keeps the rest. Softmax picks one of many. ChatGPT uses GELU, a smooth cousin of ReLU. So a neuron is a sum, a curve, and a hand over. The curve is what makes a network more than a line. #machinelearning #neuralnetworks #activationfunction #ai #coding
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