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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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Prabhakar Chaudhary

Decoupling Physical Control and Reasoning: DeepMind's Gemini Robotics 2 Architecture

#ai #machinelearning #deeplearning #computervision

5 min read

Madhumitha Kolkar

I Rewrote My RL Agent in DeepMind's Neural Network Library - Day 9 (Haiku)

#jax #reinforcementlearning #machinelearning #deeplearning

3 min read

Chaeyeon Mia Lee

GEPA Explained — From Paper to Working Code in 10 Minutes

#machinelearning #python #deeplearning #llm

5 min read

Chaeyeon Mia Lee

CoMem Explained — From Paper to Working Code in 10 Minutes

#machinelearning #python #deeplearning #llm

6 min read

The Invisible Complexity Behind Simple Human Actions: Why Teaching Machines What We Do Naturally Is So Hard

#ai #deeplearning #machinelearning

2 min read

Chaeyeon Mia Lee

GRPO, Dr. GRPO, and DAPO Explained — The One Identity That Unifies All Three

#machinelearning #python #deeplearning #llm

5 min read

Deep Learning Training Playbook: Turning Research Papers into Engineering Decisions

#machinelearning #ai #opensource #deeplearning

1 min read

Wesam Khallaf — Author of PyTorch From Ground Up

PyTorch `permute` vs `transpose`: What's the Difference (and the `reshape` Bug That Scrambles Your Images)

#deeplearning #python #tutorial

7 min read

First Commit of Machine Learning

#ai #machinelearning #deeplearning #webdev

2 min read

Madhumitha Kolkar

I Implemented the Algorithm Behind ChatGPT From Scratch - Day 8 (PPO).

#reinforcementlearning #machinelearning #deeplearning #python

3 min read

From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey

#ai #machinelearning #deeplearning #datascience

9 min read

Separar canciones en stems con HTDemucs v4 en un servidor con poca RAM

#audioai #htdemucs #deeplearning #procesadoasincrono

2 min read

Yiğit Erdoğan

Detecting Objects in Satellite Imagery with YOLOv8: xView + DOTA to YOLO in Practice

#machinelearning #computervision #python #deeplearning

5 min read

权重即数据：神经网络权重空间学习如何成为 AI 的下一类训练集

#ai #deeplearning #llm #machinelearning

2 min read

Sreeraj Sreenivasan

The Evolution of AI, Explained in Stages

#ai #machinelearning #beginners #deeplearning

3 min read

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