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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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Rost

Sep 8

What Comes After LLMs? Mamba, Diffusion & World Models

#ai #llm #architecture #deeplearning

11 min read

Sep 8

Neural Networks: Inspired by the Brain, Built for Data

#ai #deeplearning #datascience #machinelearning

10 min read

Anushka S Raghunandan

Sep 7

What I Learned Building a Mini TensorRT

#computerscience #deeplearning #machinelearning #performance

3 min read

zeromathai

Sep 12

Modeling Data Distributions: The Core Idea Behind Generative Models

#machinelearning #generativeai #probability #deeplearning

6 min read

Sep 6

Neural Networks: Weights, Activation, and Backpropagation

#machinelearning #beginners #deeplearning #pytorch

5 min read

Sep 11

The Embedding Table Was 72% of the Model

#ai #machinelearning #deeplearning #llm

5 min read

Baaz

Sep 6

The Use of AI in Computer Vision

#ai #deeplearning #machinelearning

3 min read

Daniel Sam Pete Thiyagu

Oct 8

Thinking Twice Can Make You Dumber: The Test-Time Compute Playbook Behind September's Smartest Models

#ai #machinelearning #llm #deeplearning

6 min read

Daniel Sam Pete Thiyagu

Oct 8

5.7x, 512 GPUs, One Endpoint Across the Pacific: AI's Report Card Just Grew Up

#ai #machinelearning #programming #deeplearning

7 min read

Sanya

Sep 5

AI Safety Researcher 工具箱：数据投毒防御、可解释性、进度追踪与判断力

#ai #machinelearning #deeplearning #aisafety

2 min read

Secret123

Sep 4

Imag-Eval

#ai #machinelearning #deeplearning #computervision

1 min read

Wesam Khallaf — Author of PyTorch From Ground Up

Sep 8

What Your Loss Function Actually Tells the Model: MSE, Cross-Entropy, and the softmax Bug That Trains Anyway

#pytorch #deeplearning #machinelearning #beginners

13 min read

Sep 4

Is the RTX PRO 6000 worth it for AI and rendering right now

#ai #deeplearning #hardware #machinelearning

6 min read

Oct 7

How Does a Neural Network Actually Learn?

#ai #machinelearning #deeplearning

3 min read

Prabhakar Chaudhary

Oct 7

LoGRA: How Low-Rank Gradient Sketches Make LLM Reinforcement Learning Fit on Real Hardware

#machinelearning #llm #deeplearning #python

5 min read

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