Skip to content

Forem

Deep Learning

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

about #deeplearning

Conventional machine learning techniques are limited in their ability to automatically transform the raw unstructured data into a suitable internal representation. Deep learning methods are representation learning methods with multiple levels of representation, obtained by composing several simple but non-linear modules that each transform the representation at one level (starting with the raw input) into a representation at a higher, slightly more abstract level - to put it simply - Neural Networks. With the composition of enough such transformations, very complex functions can be learned - a universal approximator.
If you want to share something primarily on deep learning techniques please use #deeplearning tag.

👋 Sign in for the ability to sort posts by relevant, latest, or top.

Cover image for Hysteresis in Neural Networks — Part 1

Ertugrul

Jan 9

Hysteresis in Neural Networks — Part 1

#ai #computerscience #deeplearning #machinelearning

4 min read

Cover image for Let’s Build a Deep Learning Library from Scratch Using NumPy (Part 3: Training MNIST)

zekcrates

Jan 9

Let’s Build a Deep Learning Library from Scratch Using NumPy (Part 3: Training MNIST)

#showdev #python #deeplearning #machinelearning

3 min read

Cover image for Let’s Build a Deep Learning Library from Scratch Using NumPy (Part 2: Autograd)

zekcrates

Jan 8

Let’s Build a Deep Learning Library from Scratch Using NumPy (Part 2: Autograd)

#deeplearning #python #machinelearning #ai

6 min read

Cover image for The GreenEyes.AI Vision Stack: A Hybrid Pipeline for Object Labeling and Feature-Based Recognition

💻 Arpad Kish 💻

Jan 22

The GreenEyes.AI Vision Stack: A Hybrid Pipeline for Object Labeling and Feature-Based Recognition

#ai #cpp #deeplearning #machinelearning

3 min read

Garyvov

Jan 8

How to Add Randomness to Z-Image Turbo Using Transformers: Complete Seed Control Guide

#ai #deeplearning #python #tutorial

8 min read

James

Feb 9

Dev 006 - Stable Diffusion, GPU Too Old

#ai #deeplearning #devjournal #machinelearning

2 min read

Jan 5

Mosaic: Sharding Attention Across GPUs When Your Sequence Doesn't Fit

#architecture #deeplearning #llm #performance

5 min read

Cover image for NVIDIA Unveils DLSS 4.5, G-SYNC Pulsar, and RTX Upgrades for Gaming and AI Toolsat CES 2026

Jan 6

NVIDIA Unveils DLSS 4.5, G-SYNC Pulsar, and RTX Upgrades for Gaming and AI Toolsat CES 2026

#news #ai #deeplearning #gamedev

2 min read

amal org

Jan 6

Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning

#ai #datascience #deeplearning #machinelearning

5 min read

Leo Lau

Jan 6

mHC [Paper Cuts]

#architecture #computerscience #deeplearning #machinelearning

3 min read

vaibhav ahluwalia

Jan 19

Caching Strategies for LLM Systems (Part 2): KV Cache and the Mathematics of Fast Transformer Inference

#machinelearning #deeplearning #nlp #ai

4 min read

Hemanath Kumar J

Jan 4

TensorFlow - Hyperparameter Tuning - Complete Tutorial

#tutorial #tensorflow #hyperparametertuning #deeplearning

2 min read

Cover image for My single best advice for anyone wanting to start in AI:

Furkan Şimşek

Jan 3

My single best advice for anyone wanting to start in AI:

#ai #deeplearning #machinelearning #career

1 min read

Jan 3

Our GPU Was Idle 77% of the Time. Here's How We Fixed It

#deeplearning #performance #python #tutorial

4 min read

Cover image for How I Built a Full-Stack ML App (and Fixed a 3GB Docker Image) 🐳

Jan 1

How I Built a Full-Stack ML App (and Fixed a 3GB Docker Image) 🐳

#python #docker #datascience #deeplearning

3 min read

👋 Sign in for the ability to sort posts by relevant, latest, or top.