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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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jidonglab

Jul 17

Attention Sinks: Why Streaming LLMs Break When You Evict Token 0

#deeplearning #llm #machinelearning #nlp

6 min read

Wesam Khallaf — Author of PyTorch From Ground Up

Jul 17

Reshape vs View in PyTorch: What's the Difference (and When `view()` Breaks)

#deeplearning #machinelearning #python #tutorial

4 min read

Pneumetron

Jul 17

RINO: Unifying Vision Tasks with RGB In and RGB Out

#computervision #machinelearning #deeplearning #rgb

4 min read

GOLLAMANDALA NIREL SOLOMON 2341434

Jul 13

Why Explainability Isn't Optional: XAI in Healthcare, Finance, and Autonomous Vehicles

#ai #datascience #deeplearning #machinelearning

4 min read

Cris D

Jul 13

Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models

#ai #deeplearning #machinelearning #nlp

9 min read

ETCH DEV

Jul 11

🧠 Building an Engineering Mindset

#softwaredevelopment #deeplearning #developer #frontend

3 min read

Jul 10

Transformers From Scratch In Code

#deeplearning #machinelearning #python #tutorial

7 min read

Jul 10

Financial Market Analysis (Double-Tower Transformer)

#ai #deeplearning #fintech #machinelearning

2 min read

zengbao yu

Jul 9

Latent Space as External Organ: A Framework for LLM Self-Extension Beyond Context Windows

#discuss #ai #architecture #deeplearning

10 min read

rushikeshpatil1007

Jul 9

Artificial Intelligence vs Machine Learning vs Deep Learning: What's the Difference?

#ai #beginners #deeplearning #machinelearning

3 min read

Jul 12

Bayesian Neural Networks

#machinelearning #deeplearning #datascience #tutorial

4 min read

Jul 6

The Shape of Being Wrong

#ai #deeplearning

8 min read

Jul 6

Why 97% Accuracy is a Lie: My Journey from ANN to CNN

#showdev #deeplearning #machinelearning #python

2 min read

Jul 5

From a Single Line to a Universal Function Machine: How Feedforward Networks Work

#ai #deeplearning

8 min read

Jul 4

Transformers — The Architecture That Changed AI (Part 1 of 3)

#ai #machinelearning #deeplearning #nlp

13 min read

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