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Deep Learning
🧠 Deep Learning
Neural Networks, Model Training, Backpropagation, Computer Vision
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Forward-Only
Convolutional
Neural
Networks
with Learnable Channel-Class Assignment
🤖
AI
Content type:
Academic
arxiv.org
·
20h
20 hours ago
Actions for Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
New comment by Ishan1907 in "Ask HN: Who wants to be hired? (June 2026)"
🤖
Machine Learning
drive.google.com
·
6d
6 days ago
·
Hacker News
Actions for New comment by Ishan1907 in "Ask HN: Who wants to be hired? (June 2026)"
Efficient and accurate
neural-field
reconstruction using resistive memory
🤖
AI
Content type:
Academic
nature.com
·
1d
1 day ago
Actions for Efficient and accurate neural-field reconstruction using resistive memory
OpenCV 5 brings new
deep
neural
network
engine, stronger ONNX support, and faster core
👁️
Computer Vision
alternativeto.net
·
6h
6 hours ago
Actions for OpenCV 5 brings new deep neural network engine, stronger ONNX support, and faster core
Agentic AI in Telecommunications: The Next Evolution of
Network
Management
🤖
Machine Learning
Content type:
Discussion
signitysolutions.com
·
1d
1 day ago
·
DEV
Actions for Agentic AI in Telecommunications: The Next Evolution of Network Management
Day 45: Activation Functions and Loss Functions — Helping
Neural
Networks
Learn
Effectively
🧠
Neural Networks
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Day 45: Activation Functions and Loss Functions — Helping Neural Networks Learn Effectively
Deep
learning
reveals enhanced ENSO predictability under historical anthropogenic forcing
🤖
Machine Learning
science.org
·
11h
11 hours ago
Actions for Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing
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
.
🤖
AI
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.
Machine
learning
from scratch, what to build before using scikit-learn
🧠
Neural Networks
Content type:
Tutorial
iwtlp.com
·
10h
10 hours ago
·
DEV
Actions for Machine learning from scratch, what to build before using scikit-learn
Algebraic Cryptanalytic Extraction on Hard-Label
Neural
Networks
🤖
AI
eprint.iacr.org
·
6d
6 days ago
Actions for Algebraic Cryptanalytic Extraction on Hard-Label Neural Networks
The
neural
networks
for structured datasets
🤖
AI
Content type:
Blog
breno.bearblog.dev
·
6d
6 days ago
Actions for The neural networks for structured datasets
Backpropagation
Without the Magic: A First-Principles Derivation
🤖
AI
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Backpropagation Without the Magic: A First-Principles Derivation
Generalization in
Deep
Neural
Networks
: Minimax Rates for Gradient Methods
🤖
AI
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Are
Neural
Networks
Collision Resistant?
🤖
AI
link.aps.org
·
5d
5 days ago
Actions for Are Neural Networks Collision Resistant?
**
PyTorch
Stochastic
Gradient
Optimization Technique**
🤖
AI
sitepoint.com
·
6d
6 days ago
Actions for **PyTorch Stochastic Gradient Optimization Technique**
ORIGAMI: Orientation-Aware Graph
Neural
Network
for Assessing Multimeric Interfaces of Protein Complex Structures
🤖
AI
Content type:
Academic
biorxiv.org
·
6d
6 days ago
Actions for ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures
Evaluating and developing
machine
learning
models
: äN introduction (gpn24)
🤖
AI
cdn.media.ccc.de
·
6d
6 days ago
Actions for Evaluating and developing machine learning models: äN introduction (gpn24)
Neural
Networks
Are Pattern Matchers, Not Physicists.
🤖
AI
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Neural Networks Are Pattern Matchers, Not Physicists.
Optimal Rates for Generalization of
Gradient
Descent
Methods with
Deep
Neural Networks
🤖
Machine Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
Theory of
learning
of high-dimensional controlled non-linear dynamical systems (I):
models
and methods
🧠
Neural Networks
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods
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