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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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Feb 20

Singular Value Decomposition (SVD): Part 2

#machinelearning #ai #deeplearning

3 min read

vivekvohra

Feb 20

Part 1: Detecting Alzheimer’s with EEG and Deep Learning – Theory, Motivation, and Preprocessing

#ai #deeplearning #machinelearning #tensorflow

4 min read

Feb 20

Step-by-Step Guide: Building Your First Image Classification Project with Machine Learning

#machinelearning #deeplearning #computervision #python

3 min read

Feb 19

Singular Value Decomposition (SVD)

#machinelearning #ai #deeplearning

3 min read

Feb 18

Matrix Diagonalization

#machinelearning #ai #deeplearning

3 min read

Feb 17

Eigen Decomposition of a Matrix

#ai #deeplearning #machinelearning

3 min read

Hulk Pham

Feb 19

The Complete Machine Learning Pipeline: From Data to Deployment

#machinelearning #deeplearning

4 min read

Hulk Pham

Feb 19

Getting Started with TensorFlow and Keras

#tensorflow #keras #deeplearning #machinelearning

4 min read

Su Liu

Feb 15

The Easiest Way to Deploy a SetFit Model on AWS

#nlp #aws #deeplearning #modeldeployment

4 min read

Feb 14

Orthogonal and Orthonormal Vectors in Linear Algebra

#machinelearning #deeplearning #ai

2 min read

Feb 13

Eigenspace and Eigenspectrum

#machinelearning #ai #deeplearning

3 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

Feb 11

Determinant of a Matrix

#machinelearning #ai #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

Feb 9

Graph Laplacian: From Basic Concepts to Modern Applications

#tutorial #ai #programming #deeplearning

6 min read

Feb 7

LU Decomposition

#machinelearning #deeplearning #ai

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

Feb 5

Matrices

#machinelearning #ai #deeplearning

3 min read

Feb 4

Systems of Linear Equations

#machinelearning #ai #deeplearning

3 min read

Techlyst

Feb 4

Neuralink Has Taught Paralyzed Patients to Draw Using Their Thoughts

#ai #neuralink #deeplearning

3 min read

DevInsights Blog

Feb 16

Unlock the Power of Neural Networks – From Scratch!

#ai #deeplearning #machinelearning #python

2 min read

Alaa Samy

Feb 14

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

#ai #machinelearning #deeplearning #beginners

4 min read

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