Neuralnetworks

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shangkyu shin

May 6

How Backpropagation Works — From Forward Pass to Gradient Updates

#machinelearning #ai #deeplearning #neuralnetworks

3 min read

shangkyu shin

May 5

Why Activation Functions Matter in Neural Networks

#machinelearning #ai #deeplearning #neuralnetworks

3 min read

Kshitiz Maurya

Apr 24

HLLN 2.1 Just Beat CfC on Chaos—And It Used 6 Fewer Parameters. Here’s Why That Matters.

#machinelearning #neuralnetworks #physics #ai

6 min read

Mohamed Hamed

Apr 21

Part 7 — The Transformer: The Architecture That Accidentally Changed the World

#transformer #attention #neuralnetworks #aifundamentals

12 min read

shangkyu shin

Apr 11

Output Layer Explained — Logits, Softmax, Cross-Entropy, and Why They Work Together

#ai #deeplearning #machinelearning #neuralnetworks

2 min read

shangkyu shin

Apr 11

Multilayer Perceptron (MLP) — How Neural Networks Learn Representations, Probabilities, and Gradients

#machinelearning #deeplearning #neuralnetworks #ai

6 min read

shangkyu shin

Apr 11

Neural Network Learning Systems and Deep Learning: From Perceptrons to Representation Learning

#ai #deeplearning #machinelearning #neuralnetworks

6 min read

Farzon Lotfi

May 2

From Sidelined to Streamlined: Decoding My Apple Watch Metrics (Part 1)

#apple #mlp #neuralnetworks #vo2max

3 min read

shangkyu shin

Apr 11

Fundamentals of Neural Networks: How Simple Math Scales into Modern AI

#ai #machinelearning #deeplearning #neuralnetworks

2 min read

shangkyu shin

Apr 11

The 3 Waves of Deep Learning (Why AI Took Decades to Actually Work)

#ai #deeplearning #machinelearning #neuralnetworks

2 min read

shangkyu shin

Apr 11

Foundations of AI and Deep Learning: From Symbolic AI to Representation Learning Systems

#ai #deeplearning #machinelearning #neuralnetworks

2 min read

Mohamed Hamed

Apr 7

Part 5 — How AI Actually Learns: The Training Loop Explained

#aitraining #machinelearning #neuralnetworks #aifundamentals

8 min read

Arkaprabha Banerjee

Apr 7

Liquid Neural Networks: The Future of Temporal AI in 2024

#neuralnetworks #liquidstatemachines #neuromorphiccomputin #edgeai

4 min read

Cover image for My Study Notes on Convolutional Neural Networks (CNN)

Shoichi Okaniwa

Mar 25

My Study Notes on Convolutional Neural Networks (CNN)

#machinelearning #deeplearning #cnn #neuralnetworks

3 min read

Cover image for From Perceptrons to Predicting the Next Word

Akash

Apr 9

From Perceptrons to Predicting the Next Word

#nlp #neuralnetworks #machinelearning #deeplearning

9 min read

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Forem

# neuralnetworks

How Backpropagation Works — From Forward Pass to Gradient Updates

Why Activation Functions Matter in Neural Networks

HLLN 2.1 Just Beat CfC on Chaos—And It Used 6 Fewer Parameters. Here’s Why That Matters.

Part 7 — The Transformer: The Architecture That Accidentally Changed the World

Output Layer Explained — Logits, Softmax, Cross-Entropy, and Why They Work Together

Multilayer Perceptron (MLP) — How Neural Networks Learn Representations, Probabilities, and Gradients

Neural Network Learning Systems and Deep Learning: From Perceptrons to Representation Learning

From Sidelined to Streamlined: Decoding My Apple Watch Metrics (Part 1)

Fundamentals of Neural Networks: How Simple Math Scales into Modern AI

The 3 Waves of Deep Learning (Why AI Took Decades to Actually Work)

Foundations of AI and Deep Learning: From Symbolic AI to Representation Learning Systems

Part 5 — How AI Actually Learns: The Training Loop Explained

Liquid Neural Networks: The Future of Temporal AI in 2024

My Study Notes on Convolutional Neural Networks (CNN)

From Perceptrons to Predicting the Next Word