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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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Nov 26

# 🚀 Why PyTorch Stole the Spotlight from TensorFlow

#machinelearning #deeplearning #tensorflow #ai

2 min read

Wojciech Kaczmarczyk

Nov 22

Accelerate AI Workloads with Amazon EC2 Trn1 Instances and AWS Neuron SDK

#aws #sagemaker #deeplearning #ai

2 min read

Nov 22

Ai generated content detection project

#ai #deeplearning #machinelearning #python

1 min read

Wojciech Kaczmarczyk

Nov 20

Understanding BERT Tokens: Tokenization and Its Role in NLP

#ai #deeplearning #machinelearning #nlp

3 min read

CodePicker

Nov 19

"Deep Learning Demystified: A Beginner's Guide"

#ai #developer #productivity #deeplearning

4 min read

Cathtine Zhamotsina

Nov 19

Hyperparameter Tuning in Deep Learning

#tuning #hyperparametres #deeplearning #machinetranslation

7 min read

Nov 20

Pre-trained AI Models Explained: Implementation Guide with BERT, GPT & Stable Diffusion

#ai #chatgpt #machinelearning #deeplearning

3 min read

Super Kai (Kazuya Ito)

Nov 17

What is Computer Vision? (2)

#python #pytorch #computervision