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Gradient Descent
⛰️ Gradient Descent
Optimization, Learning Rate, Backpropagation, Convergence
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The Smallest Brain You Can Build: A Perceptron in Python
🔢
Embeddings
Content type:
Discussion
news.ycombinator.com
·
1d
1 day ago
·
Hacker News
Actions for The Smallest Brain You Can Build: A Perceptron in Python
ml-from-scratch-book/code: Companion code for Machine
Learning
From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
📈
Linear Models
Content type:
Code
github.com
·
1d
1 day ago
·
Hacker News
Actions for ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
Major Types of Machine
Learning
📈
Linear Models
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Major Types of Machine Learning
Overcoming Rank Collapse in Feedback Alignment
📐
Matrix Factorization
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for Overcoming Rank Collapse in Feedback Alignment
Unpacking AI: The Hardware Behind AI
🗺️
UMAP
Content type:
News
pathtostaff.com
·
4d
4 days ago
·
Hacker News
Actions for Unpacking AI: The Hardware Behind AI
Less-relevant results
What are AI parameters — and why does everyone keep talking about billions of them?
🗺️
UMAP
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for What are AI parameters — and why does everyone keep talking about billions of them?
The 4-Stage AI Asset Lifecycle: How to Manage Your Models, Datasets, and Labels Without
Losing
Track
📦
HDF5
sitepoint.com
·
5d
5 days ago
Actions for The 4-Stage AI Asset Lifecycle: How to Manage Your Models, Datasets, and Labels Without Losing Track
The Untrainable
📊
Empirical Bayes
Content type:
News
Content type:
Blog
saranormous.substack.com
·
1d
1 day ago
·
Substack
Actions for The Untrainable
Diverse binding poses of agonistic neurotoxins on human Na v 1.6
🦠
Whole cell model
Content type:
Academic
nature.com
·
1d
1 day ago
Actions for Diverse binding poses of agonistic neurotoxins on human Na v 1.6
Machine
Learning
With Manya: The Great Toy Shop Whisper Game
🗺️
Manifold Learning
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Machine Learning With Manya: The Great Toy Shop Whisper Game
A Theory on Flow Matching with Neural Networks
🔢
Embeddings
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for A Theory on Flow Matching with Neural Networks
Designing Loops That Prompt Coding Agents: The Six I Actually Run
🚀
Streamlit
cameronwestland.com
·
2d
2 days ago
·
Hacker News
Actions for Designing Loops That Prompt Coding Agents: The Six I Actually Run
Growing Pains of Starting a Secret Society
🦠
Whole cell model
Content type:
Blog
mrmarket.bearblog.dev
·
1d
1 day ago
·
Hacker News
Actions for Growing Pains of Starting a Secret Society
Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)
🚀
Streamlit
globalnerdy.com
·
5d
5 days ago
Actions for Tampa Bay tech, entrepreneur, and nerd events list (Monday, June 8 – Sunday, June 14)
Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
🎪
Convex Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
Neural Networks Are Pattern Matchers, Not Physicists.
🎲
Stochastic differential equation
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Neural Networks Are Pattern Matchers, Not Physicists.
princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works
🔲
Zarr
Content type:
Code
github.com
·
1d
1 day ago
·
Hacker News
Actions for princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works
Structured
Adaptive
Tensor Prediction for Streaming Data
🗺️
Manifold Learning
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for Structured Adaptive Tensor Prediction for Streaming Data
How Far Apart Does a Model Think Its Tokens Are?
🔢
Embeddings
lesswrong.com
·
3d
3 days ago
Actions for How Far Apart Does a Model Think Its Tokens Are?
Optimal
Rates
for Generalization of
Gradient
Descent Methods with Deep Neural Networks
🎪
Convex Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
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