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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 5

Probability & its Distribution

#machinelearning #ai #deeplearning

3 min read

Mar 4

Descriptive and Inferential Statistics

#machinelearning #ai #deeplearning

3 min read

Mohcen

Mar 4

A Comprehensive Guide to Machine Learning: Types, Algorithms and Applications

#deeplearning #ai #machinelearning

5 min read

Shaheryar

Mar 3

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

#ai #machinelearning #deeplearning #llm

2 min read

Mar 4

How to Create a Voice Cloning AI Model for Realistic Speech Synthesis

#ai #deeplearning #voicecloning #texttospeech

3 min read

Shaheryar

Mar 4

How Does RAG Differ from Traditional NLP Models?

#ai #machinelearning #nlp #deeplearning

3 min read

Mar 2

How to Use AI for Real-Time Speech Recognition and Transcription

#ai #whisper #deeplearning #speechrecognizion

3 min read

NeuralLang

Mar 4

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

#showdev #deeplearning #ai #opensource

3 min read

Mar 3

Descriptive Statistics

#machinelearning #ai #deeplearning

2 min read

Ikechukwu John Uche

Feb 27

Windows 11 Virtual Machine Set Up on Microsoft Azure

#aws #career #deeplearning #css

6 min read

Feb 26

Statistics Cheatsheet – A Handy Guide for Enthusiasts

#datascience #statistics #deeplearning #machinelearning

16 min read

Feb 25

Maxima and Minima

#machinelearning #ai #deeplearning

3 min read

Feb 24

Differentiation

#deeplearning #machinelearning #ai

4 min read

Shobhit Agarwal

Feb 24

Grok 3 vs ChatGPT vs DeepSeek: I Spent $30 for an In-Depth Analysis

#grok3 #deeplearning #generativeai #chatgpt

1 min read

Feb 23

Classification vs Object detection vs Segmentation

#machinelearning #computervision #deeplearning #learning

1 min read

ML Canvas

Feb 22

ML Canvas – A Visual ML Model Designer

#machinelearning #ai #deeplearning

1 min read

ML Canvas

Feb 22

Why ML Canvas is Built for ML Developers

#machinelearning #deeplearning #ai

1 min read

Feb 21

Vector Algebra

#machinelearning #ai #deeplearning

4 min read

Feb 20

Singular Value Decomposition (SVD): Part 2

#machinelearning #ai #deeplearning

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

Feb 28

Implementation of Mean, Variance, and Standard Deviation

#machinelearning #ai #deeplearning

2 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

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