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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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Umesh Tharuka Malaviarachchi

Oct 28

Sharpness-Aware Minimization: Why Flat Minima Generalise Better Than Sharp Ones

#machinelearning #datascience #ai #deeplearning

8 min read

Umesh Tharuka Malaviarachchi

Oct 27

Grokking: Why Neural Networks Suddenly Generalise Long After Memorising

#machinelearning #datascience #ai #deeplearning

9 min read

frank chu

Oct 27

Genie 4's real upgrade isn't the graphics. It's the second model watching them.

#ai #deeplearning #google #machinelearning

4 min read

Umesh Tharuka Malaviarachchi

Oct 27

Federated Learning: Why Averaging Model Updates Works - and When It Fails

#machinelearning #datascience #ai #deeplearning

8 min read

Felipe 0liveira

Oct 27

GRPO keeps winning the RL-vs-data argument, and LoRA gets a mechanistic audit

#ai #deeplearning #llm #machinelearning

7 min read

Umesh Tharuka Malaviarachchi

Oct 27

Graph Neural Networks: Why Message Passing Works - and Where It Breaks

#machinelearning #datascience #ai #deeplearning

9 min read

Viswaretas Kotra

Oct 26

What is GRPO, and how do you run GRPO training on GPUs?

#machinelearning #llm #ai #deeplearning

9 min read

Krishanth

Oct 26

I Built EveryO to Understand How Neural Networks Actually Work

#python #machinelearning #deeplearning #opensource

8 min read

Abdulrahman Maslmany

Oct 26

Prompt Caching: How to Slash Local LLM TTFT & Latency

#ai #llm #deeplearning #performance

6 min read

Celia Kaligirwa

Oct 26

Large Language Model- Models worth considering to improve our project.

#deeplearning #llm #machinelearning #nlp

3 min read

anne sonia

Oct 26

Learning Vision-Language Models (VLMs): My First Steps

#ai #beginners #deeplearning #machinelearning

6 min read

Umesh Tharuka Malaviarachchi

Oct 25

Spectral Bias: Why Neural Networks Learn Low Frequencies First

#machinelearning #datascience #ai #deeplearning

7 min read

Umesh Tharuka Malaviarachchi

Oct 25

Natural Gradients: Why Steepest Descent Depends on the Geometry You Choose

#machinelearning #datascience #ai #deeplearning

8 min read

Alicia lu

Oct 25

Houdini ML Volume Upres for Pyro: Pretrained Models and a Real Training Run

#ai #deeplearning #machinelearning

7 min read

Umesh Tharuka Malaviarachchi

Oct 26

The Information Bottleneck: Why the Best Representations Forget Most of What They See

#machinelearning #datascience #ai #deeplearning

8 min read

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