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Deep Learning

This tag is for discussing, sharing articles, and asking questions primarily on deep learning - a subfield of machine learning.

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TensorFlow: el elefante de ML que sigue en pie

TensorFlow: el elefante de ML que sigue en pie

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5 min read
How Transformer Decoders Generate Text — From Causal Masking to Decoding

How Transformer Decoders Generate Text — From Causal Masking to Decoding

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5 min read
TensorFlow: the ML elephant that's still standing

TensorFlow: the ML elephant that's still standing

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5 min read
GANs Explained: Two Networks That Make Fakes Real

GANs Explained: Two Networks That Make Fakes Real

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1 min read
Why Multi-Head Attention Needs Position, Residuals, and Normalization

Why Multi-Head Attention Needs Position, Residuals, and Normalization

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5 min read
Transformers From Scratch: Assembling the Block Behind GPT

Transformers From Scratch: Assembling the Block Behind GPT

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1 min read
Why I put a 4-qubit circuit inside a brain tumor classifier

Why I put a 4-qubit circuit inside a brain tumor classifier

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5 min read
Attention From Scratch: How Transformers Read Everything at Once

Attention From Scratch: How Transformers Read Everything at Once

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1 min read
Three Ideas Made Modern AI Possible. None of Them Are Magic.

Three Ideas Made Modern AI Possible. None of Them Are Magic.

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5 min read
I Built Flash Attention From Scratch — Here's What Nobody Tells You About It

I Built Flash Attention From Scratch — Here's What Nobody Tells You About It

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2 min read
Pandas and Data Visualization Using Matplotlib and Seaborn

Pandas and Data Visualization Using Matplotlib and Seaborn

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5 min read
RNNs From Scratch: a Network With a Memory of the Past

RNNs From Scratch: a Network With a Memory of the Past

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1 min read
CNNs From Scratch: the Convolution That Sees Images

CNNs From Scratch: the Convolution That Sees Images

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1 min read
LSTM and GRU: the Gates That Let a Network Remember

LSTM and GRU: the Gates That Let a Network Remember

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1 min read
Pooling in CNNs: Shrink the Map, Keep What Matters

Pooling in CNNs: Shrink the Map, Keep What Matters

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1 min read
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