#Backprop - Twitter Hashtag

5 days ago

If you are getting into neural networks and backprop, Zero to Hero by Andrej Karpathy is a solid start. I’ve been following it myself recently. Get basic derivatives (calculus) and Python OOP down first, makes it smoother https://t.co/6aL2XSIYzY #MachineLearning #AI #Backprop

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Ayush

@TensorThrottleX

10 months ago

Day 127 -Data Science Journey: ->Backprop Chain Rule: ->Loss- Activation -Weights: Grad = Outer * Inner Derivs (Multiply Back) ->Cross-Entropy: -[p ln(q)+(1-p)ln(1-q)] : Smashes Misses ->Grad Magic: ŷ - y (Sigmoid/Softmax!) ->MSE/Hinge? #ML #NeuralNets #Backprop #DeepLearning

TensorThrottleX's tweet photo. Day 127 -Data Science Journey:
->Backprop Chain Rule:
->Loss- Activation -Weights: Grad = Outer * Inner Derivs (Multiply Back)
->Cross-Entropy: -[p ln(q)+(1-p)ln(1-q)] : Smashes Misses
->Grad Magic: ŷ - y (Sigmoid/Softmax!) ->MSE/Hinge? #ML #NeuralNets #Backprop #DeepLearning https://t.co/NJHCq2oUma

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σℓαigє τ

@_olaige

11 months ago

This is so cool. So happy to see these SNs on #Backprop. #Bittensor $TAO #Yuma

Backprop Finance

@BackpropFinance

11 months ago

You can view and trade all of "Yuma Accelerated" Subnets on Backprop Screener!

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Vuk Rosić 武克

@VukRosic99

11 months ago

Backpropagation From Scratch - Animated Learn backpropagation from scratch and understand how neural network learn Max video length on x is 10min, full youtube video in replies #neuralnetworks #backprop #backpropagation

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Tanishka @gazorpazorp30

about 1 year ago

Been studying the OG ’86 paper “Learning representations by backpropagating errors” by Rumelhart, Hinton & Williams — where errors backprop, weights shift, deep learning is born... Pure brainpower meets math. #TechDeepDive #NerdAlert #AI #ML #Backprop 🔗https://t.co/9fBKSeBEyw

gazorpazorp30's tweet photo. Been studying the OG ’86 paper “Learning representations by backpropagating errors” by Rumelhart, Hinton & Williams — where errors backprop, weights shift, deep learning is born... Pure brainpower meets math.
#TechDeepDive #NerdAlert #AI #ML #Backprop

🔗https://t.co/9fBKSeBEyw https://t.co/8P9CqoNVnV

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รับทำป้ายโฆษณา ไวนิล สแตนดี้ ออกแบบป้ายต่างๆ @Puppirntmedia

about 1 year ago

ขอบคุณลูกค้าที่ไว้ใจให้ทางร้านบริการนะคะ ส่งมอบงานป้าย Backdrop โครงเหล็ก ขนาด 1.3 x 2.4 m. พร้อมติดตั้ง ณ ธันเดอร์โดมเมืองทองธานี เมื่อวันที่ 6 เมษาที่ผ่านมาค่ะ 🥰 #ป้ายเชียร์ศิลปิน #backprop #ป้ายโฆษณา #สแตนดี้ #ไวนิล

Puppirntmedia's tweet photo. ขอบคุณลูกค้าที่ไว้ใจให้ทางร้านบริการนะคะ ส่งมอบงานป้าย Backdrop โครงเหล็ก ขนาด 1.3 x 2.4 m. พร้อมติดตั้ง ณ ธันเดอร์โดมเมืองทองธานี เมื่อวันที่ 6 เมษาที่ผ่านมาค่ะ 🥰 #ป้ายเชียร์ศิลปิน #backprop #ป้ายโฆษณา #สแตนดี้ #ไวนิล https://t.co/ccQlXawpvs

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Smash The Button @smashthebutt0n

over 1 year ago

👁️God Mode: #CRIME: 8.7K → 2.7M = 312.8x #NSA: 23.2K → 2.8M = 120.2x #Ermine: 35.5K → 3.9M = 110.4x 🐂Bullish Bonding: #ELON: 92.2K → 10.8M = 117.1x #BACKPROP: 60.8K → 2.3M = 38.6x #ARK: 59.0K → 945.0K = 16.0x

smashthebutt0n's tweet photo. 👁️God Mode:
#CRIME: 8.7K → 2.7M = 312.8x
#NSA: 23.2K → 2.8M = 120.2x
#Ermine: 35.5K → 3.9M = 110.4x

🐂Bullish Bonding:
#ELON: 92.2K → 10.8M = 117.1x
#BACKPROP: 60.8K → 2.3M = 38.6x
#ARK: 59.0K → 945.0K = 16.0x https://t.co/hTOcJJHM9f

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Nico X @nicox_13

almost 2 years ago

Spent some time (actually quite a lot) writing things out following @karpathy amazing Micrograd video here:https://t.co/xb3efiQn9o . It helped me revisit and re-learn stuff. Hopefully it will help somebody else as well. Fundamentals never die. #backprop

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Omar U. Florez 🇵🇪🇺🇸

@OmarUFlorez

about 3 years ago

@mysuel @JoseCuetoAservi @dianagonzalesd_ Esperando también leer la norma que la promueve y supervisa. Hasta donde se, se piensa definir estándares de riesgo para diferentes casos de uso. No me parece una mala idea empezar con casos de usos fuertes e iterar en el tiempo aprendiendo de errores y experiencias #backprop

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Brian Anderson @braindersnn

about 3 years ago

Pioneers in the field have found ways to apply techniques like #backprop, forward prop, and equilibrium prop to train neuromorphic networks. However, good local learning rules for sparse, highly recurrent networks remain elusive; despite biological existence proofs.

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Nature Communications @NatureComms

about 3 years ago

.@nshervt & @RobertRosenba14 report that #metalearning reveals interpretable learning rules under biological constraints, shedding light on how brain may implement #backprop-like #algorithms. #neuralnetworks #GettingApplied https://t.co/WyzAQ8dMuV

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David Bennett

@DavidBennett__

over 3 years ago

Another entry in the research papers we find really cool over here at @tenstorrent . Especially fond of this one given a) the suitability with our hardware architecture and b) many of us being fans of Aidan over at @CohereAI #revnet #ML #AI #backprop https://t.co/RLxQ1DZmjt

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/MachineLearning @slashML

over 3 years ago

Hinton's Forward-Forward algorithm: Will it replace Backprop? #backprop #hinton https://t.co/G4g8ZOPIwD

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Patroklos Stefanou @formyxscarfalo1

over 3 years ago

Which deep learning framework do you prefer? @PyTorch @TensorFlow #ml #neuralnetworks #backprop #thefuture

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/MachineLearning @slashML

over 3 years ago

G. Hinton proposes FF – an alternative to Backprop #backprop #feedforward https://t.co/XqUDXVgcBT

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antonio vergari ⚔️ @tetraduzione

over 3 years ago

Our #Semantic #Probabilistic #Layers #SPLs instead always guarantee 100% of the times that predictions satisfy the injected constraints! They can be readily used in deep nets as they can be trained by #backprop and #maximum #likelihood #estimation. Check them out @ylecun! 4/

tetraduzione's tweet photo. Our #Semantic #Probabilistic #Layers #SPLs instead always guarantee 100% of the times that predictions satisfy the injected constraints!

They can be readily used in deep nets as they can be trained by #backprop and #maximum #likelihood #estimation.

Check them out @ylecun!
4/ https://t.co/mNBZulivwE

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Victor Escorcia @3scorciav

over 3 years ago

@AlexTensor @YiMaTweets @ylecun @Michael_J_Black @drfeifei @isbellHFh @mlittmancs @jcniebles @FabianCabaH underdeveloped theory (#CausalML #SelfSupervisedLearning #Backprop #Hebbian) in my future device. Plus, I'm a human prone to make mistakes. (apologies to the ppl reading & tagged here that don't make mistakes) Thus, I will raise biased kids. Enlighten us on how not to do so 😊

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Wluper @wluper_

over 4 years ago

This blog post looks at what may replace back-propagation in future deep learning and why so many alternative learning algorithms cannot be used at scale ...yet. Read it here 👇 https://t.co/HvhWang29r #DeepLearning #Backprop #FeedbackAlignment #DeepLearningAi

wluper_'s tweet photo. This blog post looks at what may replace back-propagation in future deep learning and why so many alternative learning algorithms cannot be used at scale ...yet. Read it here 👇

https://t.co/HvhWang29r

#DeepLearning #Backprop #FeedbackAlignment #DeepLearningAi https://t.co/sDKU1mjJYz

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Amelia J. Averitt, MPH MA PhD @AJAveritt

over 4 years ago

In Lecture 14, we introduce #neuralnetworks & #deeplearning! We start with the biological #neuron, the #perceptron, #activationfunctions & #backprop. We only have 2 classes + 1 lab for this topic so we must prioritize! What would you teach? #ML #CUDBMIMLHC #followme #comment👇

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Yaoshiang Ho @yaoshiang

over 4 years ago

Before the legendary #backprop paper (Rumelhart, @geoffreyhinton, Williams 1986), perceptrons were optimized using a diff algo: Perceptron Learning Algo. It doesn't require differentiable losses and resembles a bit #FGSM from @goodfellow_ian @TDataScience https://t.co/eEVfCvbqCz

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