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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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Elina Norling for Embedl Hub

Oct 30 '25

Diagnosing layer sensitivity during post training quantization

#deeplearning #machinelearning #ai #embedded

4 min read

Palash Kanti Kundu

Dec 4 '25

Part 6: Building the First Neural Network

#deeplearning #machinelearning #performance

4 min read

Arvind SundaraRajan

Dec 3 '25

Shrink Your LLMs: FAIRY2I Makes Tiny AI a Reality

#machinelearning #deeplearning #ai #optimization

2 min read

Akshaya Reddy Annareddy

Nov 5 '25

Real-Time Face Recognition Attendance — QR Access & Google Sheets Integration

#machinelearning #deeplearning #python #ai

3 min read

Ryan Giggs

Dec 2 '25

Fundamentals of Large Language Models: Understanding LLM Architectures

#llm #deeplearning #nlp #machinelearning

5 min read

Dec 2 '25

I Skipped My Birthday to Give Go Its First Real ML Framework

#go #machinelearning #opensource #deeplearning

4 min read

Oct 27 '25

Zero-Degradation Training: 92% ImageNet-100 Accuracy with 61% Energy Savings

#deeplearning #machinelearning #ai #performance

4 min read

Nov 30 '25

My Model Cheated: How Grad-CAM Exposed a 95% Accuracy Lie

#todayilearned #deeplearning #pytorch #beginners

3 min read

astronaut

Nov 27 '25

🧑‍🚀 LLM Engine Telemetry: How to Profile Models and See Where Performance is Lost

#machinelearning #ai #deeplearning #python

5 min read

Rubens Zimbres for Google Developer Experts

Jan 31

Developing a Variational Autoencoder in JAX using Antigravity

#googleantigravity #gemini #deeplearning #google

6 min read

Nov 11 '25

Majestic Labs vs. the Memory Wall

#ai #deeplearning #machinelearning #gpu

5 min read

Nov 23 '25

Tokenization in NLP: The Foundational Step That Turns Language Into Data

#llm #ai #machinelearning #deeplearning

3 min read

Amritanshu Dash

Nov 23 '25

Linear Algebra for AI — Part 1

#machinelearning #maths #deeplearning #ai

2 min read

Pratham Dabhane

Nov 5 '25

🦄 When ML Models Go Wild: Unintentional Art Created by Neural Networks

#ai #deeplearning #machinelearning

5 min read

Vinicius Fagundes

Nov 21 '25

Transformers and Attention: How LLMs Actually Process Text

#ai #architecture #llm #deeplearning

19 min read

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