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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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notHanii

Sep 22

How to learn AI and get RICH in the AI revolution

#python #machinelearning #chatgpt #deeplearning

3 min read

Sep 10

Deep Learning with “AWS Graviton2 + NVIDIA Tensor T4G” for as low as free* with CUDA 12.2

#aws #deeplearning #ec2 #graviton2

11 min read

Victor Chaba for Lux tech Academy

Aug 25

Understanding the Differences: Fine-Tuning vs. Transfer Learning

#finetuning #deeplearning #transferlearning

5 min read

Ankit Sahu

Aug 23

Installing ML-Agents on macOS M1: A Troubleshooting Guide 👨‍💻

#machinelearning #python #deeplearning

4 min read

Louis Fortier-Dubois

Sep 7

Why Rust Is the Optimal Choice for Deep Learning, and How to Start Your Journey with the Burn Deep Learning Framework

#deeplearning #opensource #rust

4 min read

Ming

Aug 26

Serving fine-tuned large language model with vLLM

#machinelearning #deeplearning #python #llm