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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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Alex Neal Albinda for UP Mindanao SPARCS

Apr 24

Cat or Dog? — Building a Binary Image Classifier with TensorFlow

#ai #deeplearning #tensorflow

15 min read

Aditya Tripathi

Mar 19

The Future of Deep Learning: Trends and Predictions for 2025

#datascience #deeplearning #python #webdev

5 min read

Mar 18

Confidence Interval

#ai #machinelearning #deeplearning

4 min read

John

Mar 18

Deep Learning Meets OCR: My FastAPI-Powered Document Cleaning Tool

#webdev #fastapi #python #deeplearning

3 min read

Mar 17

Hypothesis Testing

#ai #machinelearning #deeplearning

4 min read

HoangP

Mar 17

An open-source library about Implicit Deep Learning

#opensource #deeplearning

1 min read

Samarth BC

Apr 20

How a neural network can learn any function

#deeplearning #machinelearning

5 min read

Aleksei Aleinikov

Mar 21

🧠 How a Deep Learning Framework Actually Works (From-Scratch PyTorch Clone)

#machinelearning #pytorch #deeplearning #python

1 min read

Apr 20

GEN-AI 5 : WGAN and WGAN-GP

#generative #deeplearning #wgan #wgangp

6 min read

Diyorbek Umaraliyev

Mar 16

Building and Deploying an MNIST Digit Recognition App with PyTorch and Streamlit

#ai #pytorch #deeplearning

2 min read

HexShift

Apr 19

How to Use TensorRT to Accelerate Deep Learning Inference on NVIDIA GPUs

#tensorrt #deeplearning #omnx #gpu

2 min read

Meii AI Solutions

Apr 18

Cracking the Code of Deep Learning: A Must-Read for Devs and Dreamers

#deeplearning #ai #neuralnetworks #machinelearningfordevelopers

4 min read

Mar 14

Bias-Variance Tradeoff

#ai #machinelearning #deeplearning

3 min read

SkillBoostTrainer

Mar 14

The Evolution of AI Architecture: Designing Scalable and Intelligent Systems

#ai #deeplearning #cloudcomputing #machinelearning

2 min read

SkillBoostTrainer

Mar 14

Advancing AI with Machine Learning Engineering

#ai #machinelearning #deeplearning #webdev

2 min read

Brian Tham

Apr 16

Launching My AI Portfolio – Brian Tham

#ai #deeplearning #portfolio #programming

1 min read

Mar 13

Bias and Variance

#machinelearning #ai #deeplearning

2 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

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