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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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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

10 min read

Thokozani Buthelezi

May 2

Reproducing Chinchilla Scaling on a Budget

#ai #deeplearning #python #machinelearning

3 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

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

1p

Apr 29

Yann LeCun thinks the whole industry is building the wrong thing, and now he has $1B to prove it

#discuss #ai #machinelearning #deeplearning

7 min read

Akash

Apr 29

Recurrent Neural Networks

#ai #nlp #machinelearning #deeplearning

17 min read

Ethan

Apr 28

Top 5 Reinforcement Learning Environments

#agents #ai #deeplearning #machinelearning

11 min read

Bongho Tae

Apr 27

Reading the Receipts: How Smarter Privacy Accounting Could Unlock More from Sensitive Data

#ai #machinelearning #deeplearning #python

9 min read

Madhan Alagarsamy

Apr 26

Keras Deserialization Safe Mode: Security Capabilities and Limitations

#keras #security #deeplearning #python

3 min read

Alan West

Apr 26

Why Your Neural Network Fails Silently and How to Actually Debug It

#deeplearning #machinelearning #python #debugging

5 min read

Laurent DeSegur

Apr 25

The Eighty-Year Argument: Who Owns World Models?

#machinelearning #ai #deeplearning #research

13 min read

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