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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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Daniel Sam Pete Thiyagu

Oct 7

The Model That Doesn't Talk

#ai #machinelearning #deeplearning #datascience

5 min read

Oct 7

How Does a Neural Network Actually Learn?

#ai #machinelearning #deeplearning

3 min read

Prabhakar Chaudhary

Oct 7

LoGRA: How Low-Rank Gradient Sketches Make LLM Reinforcement Learning Fit on Real Hardware

#machinelearning #llm #deeplearning #python

5 min read

Sergey Boyarchuk

Oct 7

Burn Tensor Library Enhances API Stability, Performance, and Developer Experience for 1.0 Release

#tensor #rust #deeplearning #performance

14 min read

Daniel Sam Pete Thiyagu

Oct 6

One Update, One Quarter-Turn: The Attention Layer That Learned to Rotate

#ai #machinelearning #deeplearning #llm

5 min read

Gabby Six

Oct 6

Dust: The Radical Idea of Training AI Without Backpropagation

#ai #machinelearning #deeplearning #research

4 min read

cz

Oct 6

Understanding Prism: Dynamic Sparse Attention for Joint Video-Audio Generation

#ai #machinelearning #videogeneration #deeplearning

4 min read

Daniel Sam Pete Thiyagu

Oct 5

1,107 Tokens Per Second: The LLM That Doesn't Type

#ai #llm #machinelearning #deeplearning

5 min read

cognitalk

Oct 6

One Brain, Any Body: Google DeepMind's Keerthana on Gemini ER2 | 谷歌DeepMind Gemini Robotics 2 与通用机器人现状深度访谈

#ai #deeplearning #machinelearning #robotics

2 min read

Daniel Sam Pete Thiyagu

Oct 5

One Model, Three Jobs, Zero Retraining: The Spreadsheet Just Got Its Foundation Model

#ai #machinelearning #datascience #deeplearning

5 min read

Marita P

Oct 5

How AI Rap Duo Video Generators Work Under the Hood (and How to Pick One)

#ai #deeplearning #machinelearning

3 min read

Kathir

Oct 3

DAY 1 - GENERATIVE AI

#ai #deeplearning #llm #machinelearning

8 min read

Oct 3

RL 5: Learning Automata and stochastic environments (1961–1974)

#rl #machinelearning #deeplearning #ai

21 min read

Oct 3

How AI Learns: Forward Pass and Loss Explained with 2 + 1

#ai #machinelearning #deeplearning #beginners

2 min read

Oct 1

Understanding Neural Networks: The Core Idea

#ai #deeplearning #machinelearning

11 min read

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