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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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Brian Tham

Apr 16

Launching My AI Portfolio – Brian Tham

#ai #deeplearning #portfolio #programming

1 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 12

True Error vs Sample Error

#machinelearning #ai #deeplearning

3 min read

Mar 17

Swine Transformers

#ai #deeplearning

1 min read

Apr 11

💬❤️ Analyse de Sentiments de Tweets grâce au Deep Learning : Une Approche MLOps

#machinelearning #deeplearning #python #nextjs

19 min read

Aditya Tripathi

Mar 8

Swift for AI: The Future of Machine Learning on Apple Devices

#datascience #ai #deeplearning #machinelearning

5 min read

Mar 7

Linear Regression

#machinelearning #ai #deeplearning

4 min read

Sospeter Mong'are

Apr 9

How Neural Networks Learn

#ai #deeplearning #machinelearning

2 min read

Apr 9

Image Classification with Convolutional Neural Networks (CNNs)

#programming #python #deeplearning

11 min read

Shaheryar

Mar 7

Why Use RAG? Benefits Over Standard LLMs

#ai #machinelearning #deeplearning

2 min read

Mar 5

Probability & its Distribution

#machinelearning #ai #deeplearning

3 min read

Mar 6

Sampling Distributions and Statistical Tests

#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

Abdullah Shahid Khan

Apr 7

*AI Agents: The Future of Work or Just Hype?

#ai #deeplearning #pwl

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

NeuralLang

Apr 6

Neural DSL v0.2.6: Enhanced Dashboard UI & Blog Support

#deeplearning #machinelearning #opensource #ai

5 min read

Mar 2

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

#ai #whisper #deeplearning #speechrecognizion

3 min read

Apr 2

Deep Unsupervised Learning Using Nonequilibrium Thermodynamics - By Alex Nguyen

#ai #machinelearning #deeplearning #alexnguyen

32 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

Mar 30

Deep Learning Memory Option - By Alex Nguyen

#ai #machinelearning #deeplearning

31 min read

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