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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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zeromathai

May 12

How Large Language Models Work — From Transformers to Conversational AI

#ai #machinelearning #llm #deeplearning

4 min read

May 11

Lost in the Middle: Why LLMs Quietly Ignore the Centre of Their Own Context Window

#llm #ai #deeplearning

3 min read

Eugene

May 10

Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change

#machinelearning #python #neuralnetworks #deeplearning

6 min read

𝗔𝗷𝗮𝘆 𝗦𝗼𝗻𝗶

May 10

VXN-RAMNet (VisionX Routine Adaptive Memory Network)

#showdev #algorithms #deeplearning #machinelearning

1 min read

Okerew

Jun 13

Released larkos 0.3

#showdev #ai #deeplearning #machinelearning

2 min read

Raghavendra Govindu

May 9

Generation 1 — Standalone Models (2018–2022)

#ai #deeplearning #llm #nlp

5 min read

May 9

The Paper That Taught Neural Networks to Learn Backwards

#ai #machinelearning #deeplearning #backpropogation

13 min read

zeromathai

May 9

How Deep Learning Architectures Evolved — From DNNs to Transformers

#machinelearning #ai #deeplearning #neuralnetworks

3 min read

May 7

# What LoRA Actually Adapts and Why Higher Rank Doesn't Always Buy What It Looks Like It Should Explainer by: Eyoel Nebiyu

#deeplearning #llm #machinelearning #tutorial

5 min read

Beamlaka

May 7

Did My LoRA Learn Tenacious Style—or Just Memorize Augmented Patterns?

#deeplearning #llm #machinelearning #nlp

3 min read

Алексей Гормен

May 12

Vertical Cognitive Depth and Structured Reasoning: A Practical Hypothesis for Robust Behavior Beyond Training Data

#ai #machinelearning #reasoning #deeplearning

6 min read

Sofia

May 7

LLM Study Diary #3: PyTorch

#deeplearning #devjournal #llm #machinelearning

2 min read

Mininglamp

Jun 10

SFT Offline RL Online RL: The Three-Stage Training Pipeline Behind Mano-P

#ai #machinelearning #opensource #deeplearning

8 min read

May 6

🐍 The "Production-Ready" Miniconda Cheatsheet: From Homebrew to JupyterLab

#python #machinelearning #deeplearning #datascience

3 min read

May 5

We Built Sign Language AI for a Language With Almost No Dataset. Here's What That Actually Looks Like.

#ai #deeplearning #society

5 min read

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