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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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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

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Jul 10

Transformers From Scratch In Code

#deeplearning #machinelearning #python #tutorial

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Jul 10

Financial Market Analysis (Double-Tower Transformer)

#ai #deeplearning #fintech #machinelearning

2 min read

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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

Jul 4

Vision Transformers — How Transformers Learned to See (Part 2 of 3)

#ai #machinelearning #deeplearning #computervision

12 min read

Jul 4

GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction

#architecture #deeplearning #machinelearning #performance

2 min read

Jul 3

Gradient Descent: The Engine That Made Deep Learning Possible : How one simple idea changed the way machines learn

#ai #machinelearning #deeplearning #datascience

5 min read

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