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Deep Learning
🧠 Deep Learning
Neural Networks, Convolutional Networks, Model Training, GPU
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Building a Multilayer Perceptron from Scratch: What It Taught Me About
Neural
Networks
🤖
Machine Learning
Content type:
Blog
dev.to
·
2d
2 days ago
·
DEV
Actions for Building a Multilayer Perceptron from Scratch: What It Taught Me About Neural Networks
GPU
Servers for Best Performance
🤖
Machine Learning
leaseweb.com
·
6d
6 days ago
·
DEV
Actions for GPU Servers for Best Performance
Machine
learning
from scratch, what to build before using scikit-learn
🤖
Machine Learning
Content type:
Tutorial
iwtlp.com
·
3h
3 hours ago
·
DEV
Actions for Machine learning from scratch, what to build before using scikit-learn
Balancing Real and Synthetic Data for
CNN-based
Masonry Crack Detection
🤖
Machine Learning
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection
Timing Trick Cuts Energy Used in LLM
Training
by Up to 14 Percent
🤖
LLMs
Content type:
News
spectrum.ieee.org
·
6h
6 hours ago
·
Hacker News
Actions for Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
Why
JAX
Is a Much Better Backend for Quantum Circuit Simulation Than
PyTorch
🤖
Machine Learning
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
The History of
Neural
Networks
, 1900-1990 [video]
🤖
Machine Learning
Content type:
Video
youtube.com
·
17h
17 hours ago
·
Hacker News
Actions for The History of Neural Networks, 1900-1990 [video]
Framework Desktop AMD 395+ (rdna 3.5) cannot run confyui err Fix 2026
🤖
Machine Learning
Content type:
Blog
runaihome.com
·
2d
2 days ago
·
DEV
Actions for Framework Desktop AMD 395+ (rdna 3.5) cannot run confyui err Fix 2026
PyTorch
from Scratch — Part 1:
Tensors
,
Gradients
& Activations
🤖
Machine Learning
x.com
·
4d
4 days ago
·
DEV
Actions for PyTorch from Scratch — Part 1: Tensors, Gradients & Activations
Modular Arithmetic Challenge
🤖
LLMs
Content type:
Blog
terrytao.wordpress.com
·
1d
1 day ago
·
Hacker News
Actions for Modular Arithmetic Challenge
Train
Models
Faster with
JAX
and MaxText Using NVFP4 on NVIDIA Blackwell
🤖
LLMs
Content type:
News
Content type:
Blog
developer.nvidia.com
·
1d
1 day ago
Actions for Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell
Karpathy’s 90-Second Time Machine Through 33 Years of
Neural
Networks
🤖
Machine Learning
pub.towardsai.net
·
4d
4 days ago
Actions for Karpathy’s 90-Second Time Machine Through 33 Years of Neural Networks
Turing universal
neural
networks
do not require global clocks
🔲
Cellular Automata
Content type:
Academic
nature.com
·
5d
5 days ago
·
Hacker News
Actions for Turing universal neural networks do not require global clocks
ComfyUI NVFP4 in 2026: 3 Faster Image Generation on RTX 50-Series (and the Right Format for RTX 40-Series)
🤖
Machine Learning
Content type:
Blog
dev.to
·
10h
10 hours ago
·
DEV
Actions for ComfyUI NVFP4 in 2026: 3 Faster Image Generation on RTX 50-Series (and the Right Format for RTX 40-Series)
Classifying galaxies in the Galaxy10 DECals dataset using Inception and Residual CNNs
🤖
Machine Learning
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Classifying galaxies in the Galaxy10 DECals dataset using Inception and Residual CNNs
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
.
🤖
Machine Learning
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.
Pytorch
for
Neural
Networks
Part 9: Taking Steps Toward Better Predictions
🤖
Machine Learning
Content type:
Blog
dev.to
·
22h
22 hours ago
·
DEV
Actions for Pytorch for Neural Networks Part 9: Taking Steps Toward Better Predictions
Generalization in
Deep
Neural
Networks
: Minimax Rates for Gradient Methods
📈
Optimization
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Pytorch
for
Neural
Networks
Part 5: Preparing the Model for Training
📈
Optimization
Content type:
Blog
dev.to
·
6d
6 days ago
·
DEV
Actions for Pytorch for Neural Networks Part 5: Preparing the Model for Training
Optimal Rates for Generalization of
Gradient
Descent
Methods with
Deep
Neural Networks
📈
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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