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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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Prabhakar Chaudhary

May 22

AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent

#ai #machinelearning #deeplearning #programming

5 min read

May 22

When DeepSeek Gets Stuck: How a Strong Mentor Model Finds the Real Root Cause

#ai #deeplearning #tooling #rust

5 min read

Jasmanbir Singh

May 21

Building a Real-Time Camera Classifier

#ai #deeplearning #machinelearning #tutorial

7 min read

Artem

May 20

Handling Non-Stationary Time Series: Building a Probabilistic Engine with XGBoost & Python

#ai #python #datascience #deeplearning

5 min read

ZNY

May 21

AI Tesla FSDWaymo

#ai #deeplearning #machinelearning #python

12 min read

The Forward Pass

May 20

The Synthetic Data Trap: When It Helps, When It Lies

#machinelearning #ai #mlops #deeplearning

4 min read

May 20

Retrieval accuracy falls roughly 50% when the answer sits in the middle of a long context window instead of at the edges

#deeplearning #llm #nlp #performance

1 min read

The Forward Pass

May 20

Why Your LLM Evals Are Lying to You

#machinelearning #ai #mlops #deeplearning

3 min read

Tyler Hu

May 19

Kaggle Getting Started Competition -- Petals to the Metal

#ai #beginners #learning #deeplearning

9 min read

zeromathai

May 18

How RNNs Work — Remembering Previous States in Sequential Data

#machinelearning #ai #deeplearning #neuralnetworks

4 min read

Jaydeep Shah (JD)

May 18

FP32, INT4, and Everything Between - What I Learned About Precision on Mobile

#deeplearning #machinelearning #mobile #performance

7 min read

May 31

I Benchmarked 4 Lightweight Transformers for Fault Detection. Here's What Survived.

#datascience #deeplearning #machinelearning #performance

2 min read

canoe

May 17

SANA-WM in 5 quick facts

#ai #deeplearning #opensource #performance

1 min read

Metric bias against descriptive thoroughness

Sergei Parfenov

Jun 2

I distilled a 7B vision model into a 2B one for screenshots — and the 7B teacher scored worse

#machinelearning #python #llm #deeplearning

9 min read

SUMIT KUMAR MANDAL

May 14

How Self-Driving Cars Understand Traffic: AI Vision Explained

#ai #computerscience #deeplearning #machinelearning

3 min read

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