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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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How Artificial Intelligence is transforming technology and shaping our future

How Artificial Intelligence is transforming technology and shaping our future

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7 min read
DatasetRT: Stop Rebuilding Datasets to Rebalance Training

DatasetRT: Stop Rebuilding Datasets to Rebalance Training

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7 min read
The One Knob I Never Swept Was the Optimizer. Adam Beat My Tuned SGD by 0.7

The One Knob I Never Swept Was the Optimizer. Adam Beat My Tuned SGD by 0.7

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3 min read
My malaria classifier said a car photo was infected. Here's what I did about it.

My malaria classifier said a car photo was infected. Here's what I did about it.

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4 min read
Can Your Smartphone Detect Aggressive Driving? Building a ConvLSTM with Sensor Data

Can Your Smartphone Detect Aggressive Driving? Building a ConvLSTM with Sensor Data

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5 min read
Understanding Transformer: The Architecture Behind Modern AI

Understanding Transformer: The Architecture Behind Modern AI

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5 min read
Training a 3.8B LLM to 0.384 CORE for $998!

Training a 3.8B LLM to 0.384 CORE for $998!

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5 min read
Deep Learning and Transformers

Deep Learning and Transformers

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10 min read
CUDA Cores vs Tensor Cores Explained

CUDA Cores vs Tensor Cores Explained

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2 min read
What Comes After LLMs? Mamba, Diffusion & World Models

What Comes After LLMs? Mamba, Diffusion & World Models

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11 min read
Neural Networks: Inspired by the Brain, Built for Data

Neural Networks: Inspired by the Brain, Built for Data

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10 min read
I Set Every Seed and Trained Twice. The Models Diverged at Step 1

I Set Every Seed and Trained Twice. The Models Diverged at Step 1

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4 min read
What I Learned Building a Mini TensorRT

What I Learned Building a Mini TensorRT

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3 min read
Modeling Data Distributions: The Core Idea Behind Generative Models

Modeling Data Distributions: The Core Idea Behind Generative Models

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6 min read
Neural Networks: Weights, Activation, and Backpropagation

Neural Networks: Weights, Activation, and Backpropagation

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5 min read
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