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Please ensure that any post tagged with #deeplearning is primarily on deep learning while generally can be on machine learning, data science, AI, CS, etc.

Please also be sure that your content adheres to the DEV Code of Conduct and that your comments are constructive and kind.

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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May 5

Neural Style Transfer in Deep Learning: From Cool Demo to Real Understanding

#ai #algorithms #deeplearning #machinelearning

2 min read

fab2s

May 4

I wanted to describe a network, not assemble it: FlowBuilder in flodl

#showdev #rust #machinelearning #deeplearning

5 min read

Denis

May 4

Parallel RNNs?

#algorithms #computerscience #deeplearning #machinelearning

13 min read

Jun 7

How to Become a Data Scientist in 2026

#ai #datascience #machinelearning #deeplearning

6 min read

Алексей Гормен

May 4

A11 and AGI: A Structural Approach for Models

#ai #machinelearning #architecture #deeplearning

3 min read

Thokozani Buthelezi

May 2

Reproducing Chinchilla Scaling on a Budget

#ai #deeplearning #python #machinelearning

3 min read

Metric bias against descriptive thoroughness

Sergei Parfenov

Jun 2

I distilled a 7B vision model into a 2B one for screenshots — and the 7B teacher scored worse

#machinelearning #python #llm #deeplearning

9 min read

Jun 5

What Does a Product Data Scientist Actually Do?

#ai #datascience #machinelearning #deeplearning

2 min read

May 1

Attention Is All You Need - Part 4

#deeplearning #machinelearning #nlp #tutorial

2 min read

Sheikh Sadi Asif

May 1

I Built an AI That Detects Pneumonia From Chest X-Rays Here's Exactly How I Did It

#ai #machinelearning #deeplearning #webdev

4 min read

May 1

My Journey with AI & Fashion MNIST

#ai #deeplearning #coding #tensorflow

2 min read

Fitz / OVERFITS

Jun 4

Phase transitions in neural network training: what your loss curve isn't telling you

#machinelearning #deeplearning #ai #neuralnetworks

3 min read

Mr_WlofX

May 1

#6.AI vs ML vs Deep Learning

#machinelearning #ai #deeplearning #beginners

2 min read

Sergei Parfenov

May 29

How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

#machinelearning #ai #llm #deeplearning

6 min read

Vishal Uttam Mane

Apr 30

Inside Diffusion Models: Why They Replaced GANs

#diffusionmodels #generativeai #deeplearning #ai

3 min read

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