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Deep Learning

This tag is for discussing, sharing articles, and asking questions primarily on deep learning - a subfield of machine learning.

about #deeplearning

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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Cover image for Deploying a Customer Lifetime Value(CLV) Prediction Model Using FastAPI

Feb 9

Deploying a Customer Lifetime Value(CLV) Prediction Model Using FastAPI

#fastapi #deeplearning #python #datascience

4 min read

Cover image for I Gave an AI My Study Materials, and It Planned My Entire Learning Schedule. HyperKnow Is Not Just Another Chatbot

Mar 4

I Gave an AI My Study Materials, and It Planned My Entire Learning Schedule. HyperKnow Is Not Just Another Chatbot

#ai #learning #productivity #deeplearning

6 min read

vaibhav ahluwalia

Feb 8

Caching Strategies for LLM Systems (Part 3): Multi-Query Attention and Memory-Efficient Decoding

#deeplearning #llm #machinelearning #performance

5 min read

soy

Mar 14

vLLM vs TensorRT-LLM vs Ollama vs llama.cpp — Choosing the Right Inference Engine on RTX 5090

#ai #llm #nvidia #deeplearning

7 min read

Cover image for Building an LLM From Scratch for Indic Languages: What No One Tells You About the Hard Parts

Mar 14

Building an LLM From Scratch for Indic Languages: What No One Tells You About the Hard Parts

#nlp #ai #deeplearning #machinelearning

19 min read

Vladimir Iglovikov

Mar 10

Image Augmentation in Practice — Lessons from 10 Years of Training CV Models and Building Albumentations

#computervision #deeplearning #opensource #albumentations

30 min read

Cover image for Deep Learning Without Backpropagation

Feb 8

Deep Learning Without Backpropagation

#ai #deeplearning #backprop

3 min read

jinghao-ai

Mar 11

Hunting Einstein Rings: Achieving 0.994 mAP in Deep-Space Detection with RT-DETR

#showdev #deeplearning #machinelearning #science

2 min read

Cover image for Your Training Data Is Teaching Your Model the Wrong Things

Siddhartha Reddy

Mar 11

Your Training Data Is Teaching Your Model the Wrong Things

#machinelearning #ai #python #deeplearning

3 min read

seah-js

Feb 4

Multi-head Latent Attention (MLA) — Review

#ai #architecture #deeplearning #beginners

3 min read

Cover image for The Most Dangerous Number in Machine Learning: Accuracy

Siddhartha Reddy

Mar 10

The Most Dangerous Number in Machine Learning: Accuracy

#machinelearning #python #deeplearning #ai

3 min read

Yuvaraj

Mar 8

Transformer - Encoder Deep Dive - Part 3: What is Self-Attention

#ai #architecture #machinelearning #deeplearning

9 min read

Cover image for Understanding the Transformer Architecture : A Student's Journey from Classroom to Exam Hall

Seenivasa Ramadurai

Mar 7

Understanding the Transformer Architecture : A Student's Journey from Classroom to Exam Hall

#ai #architecture #deeplearning #machinelearning

10 min read

Naoki Higuchi (CSCT-NAIL)

Feb 3

A New AI Architecture Without Prior Distributions: Stream-Based AI and Compositional Inference

#ai #deeplearning #hallucination

6 min read

Cover image for ATIC Doesn't Train. It Thinks. — How a Brazilian Developer Hit #1 on LiveBench Without Touching a Single Weight

Feb 25

ATIC Doesn't Train. It Thinks. — How a Brazilian Developer Hit #1 on LiveBench Without Touching a Single Weight

#ai #machinelearning #deeplearning

4 min read

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