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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.

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.

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Mar 19 '25

Covariance and Correlation

#ai #machinelearning #deeplearning

3 min read

Jeremiah Adepoju

Mar 18 '25

What is CAMEL-AI and Why is it Important?

#camelai #ai #agents #deeplearning

2 min read

Cover image for Geometric Deep Learning: Unlocking the Power of Structured and Non-Euclidean Data - By Alex Nguyen

Mar 17 '25

Geometric Deep Learning: Unlocking the Power of Structured and Non-Euclidean Data - By Alex Nguyen

#deeplearning #geometricdeeplearning #machinelearning #ai

17 min read

Cover image for Hyperparameter Optimization Across Frameworks Made Simple - Neural DSL v0.2.3

NeuralLang

Mar 16 '25

Hyperparameter Optimization Across Frameworks Made Simple - Neural DSL v0.2.3

#showdev #ai #machinelearning #deeplearning

3 min read

Cover image for 10 Real-World AI Agent Examples That Are Changing the Game

Genezio

Mar 13 '25

10 Real-World AI Agent Examples That Are Changing the Game

#ai #machinelearning #deeplearning

3 min read

Cover image for What Are Embeddings? How They Help in RAG

Shaheryar Yousaf

Mar 11 '25

What Are Embeddings? How They Help in RAG

#ai #vectordatabase #deeplearning #rag

3 min read

Md Rashidul Islam

Feb 28 '25

How Deep Learning Works: A Simple Explanation

#deeplearning #machinelearning #ai

1 min read

Cover image for Neural DSL v0.2.2 Release Notes

NeuralLang

Mar 10 '25

Neural DSL v0.2.2 Release Notes

#ai #opensource #deeplearning #machinelearning

2 min read

Cover image for 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: 𝗧𝗵𝗲 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗼𝗳 𝗥𝗔𝗚 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹

Shaheryar Yousaf

Mar 10 '25

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: 𝗧𝗵𝗲 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗼𝗳 𝗥𝗔𝗚 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹

#ai #deeplearning #machinelearning #vectordatabase

3 min read

Cover image for An Introduction to Supervised Learning Models

Beingana Jim Junior

Mar 8 '25

An Introduction to Supervised Learning Models

#ai #machinelearning #deeplearning #beginners

4 min read

Cover image for Why Use RAG? Benefits Over Standard LLMs

Shaheryar Yousaf

Mar 7 '25

Why Use RAG? Benefits Over Standard LLMs

#ai #machinelearning #deeplearning

2 min read

Cover image for Understanding AI, Machine Learning, and Deep Learning: A Comprehensive Guide 🚀

Alaa Samy

Feb 14 '25

Understanding AI, Machine Learning, and Deep Learning: A Comprehensive Guide 🚀

#ai #machinelearning #deeplearning #beginners

4 min read

NeuralLang

Mar 4 '25

Neural v0.2.1: Macros, Fixes, and PyTorch Training Loop!

#showdev #deeplearning #ai #opensource

3 min read

Cover image for How Does RAG Differ from Traditional NLP Models?

Shaheryar Yousaf

Mar 4 '25

How Does RAG Differ from Traditional NLP Models?

#ai #machinelearning #nlp #deeplearning

3 min read

Cover image for What is Retrieval-Augmented Generation (RAG)? A Beginner’s Guide

Shaheryar Yousaf

Mar 3 '25

What is Retrieval-Augmented Generation (RAG)? A Beginner’s Guide

#ai #machinelearning #deeplearning #llm

2 min read

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