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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 20

Kronecker-Factored Approximate Curvature (K-FAC) for Deep Learning

#deeplearning #alexnguyen #kroneckerfactored #machinelearning

15 min read

Mar 19

Covariance and Correlation

#ai #machinelearning #deeplearning

3 min read

Feb 13

Eigenspace and Eigenspectrum

#machinelearning #ai #deeplearning

3 min read

Jeremiah Adepoju

Mar 18

What is CAMEL-AI and Why is it Important?

#camelai #ai #agents #deeplearning

2 min read

Feb 12

Eigenvalues and Eigenvectors

#machinelearning #ai #deeplearning

3 min read

Aditya Tripathi

Feb 12

What is Deep Learning? A Comprehensive Guide

#datascience #ai #deeplearning #machinelearning

4 min read

Jaykumar Bhaumikbhai Patel

Mar 17

Unlocking AI Potential with Gemma 3: A Comprehensive Guide for Developers, Businesses, and Innovators

#ai #deeplearning #machinelearning #llm

3 min read

Mar 17

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

#deeplearning #geometricdeeplearning #machinelearning #ai

17 min read

Feb 11

Determinant of a Matrix

#machinelearning #ai #deeplearning

3 min read

NeuralLang

Mar 16

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

#showdev #ai #machinelearning #deeplearning

3 min read

Feb 10

Row Echelon Form

#machinelearning #deeplearning #ai

3 min read

Feb 10

Graph Data Science vs. Traditional Data Science: What’s the Difference?

#programming #data #deeplearning #graphql

3 min read

Dmitry Noranovich

Mar 16

LLM Inference GPU Video RAM Calculator

#llm #gpu #ai #deeplearning

2 min read

Genezio

Mar 13

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

#ai #machinelearning #deeplearning

3 min read

Feb 6

Gaussian Elimination in Linear Equations

#machinelearning #ai #deeplearning

3 min read

Aditya Tripathi

Feb 6

Getting Started with Deep Learning: A Beginner’s Guide to Neural Networks

#datascience #ai #machinelearning #deeplearning

4 min read

Mar 12

Comprehensive Guide to Deep Learning Intrinsic Metrics

#deeplearning #intrinsicmetric #machinelearning #alexnguyen

55 min read

Feb 5

Matrices

#machinelearning #ai #deeplearning

3 min read

Shaheryar

Mar 11

What Are Embeddings? How They Help in RAG

#ai #vectordatabase #deeplearning #rag

3 min read

Md Rashidul Islam

Feb 28

How Deep Learning Works: A Simple Explanation

#deeplearning #machinelearning #ai

1 min read

NeuralLang

Mar 10

Neural DSL v0.2.2 Release Notes

#ai #opensource #deeplearning #machinelearning

2 min read

Feb 4

Systems of Linear Equations

#machinelearning #ai #deeplearning

3 min read

Shaheryar

Mar 10

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: 𝗧𝗵𝗲 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗼𝗳 𝗥𝗔𝗚 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹

#ai #deeplearning #machinelearning #vectordatabase

3 min read

Shaheryar

Mar 9

Key Use Cases of RAG: From Chatbots to Research Assistants

#ai #machinelearning #deeplearning #rag

3 min read

DevInsights Blog

Feb 16

Unlock the Power of Neural Networks – From Scratch!

#ai #deeplearning #machinelearning #python

2 min read

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