1. Deep Learning introduction
2023. 11. 20. 13:05ㆍNAVER AI Tech/Deep Learning
Key components of Deep Learning
1. Data
2. Model
3. Loss function
Deep Learning History
2012 - AlexNet
2013 - DQN(알파고 알고리즘)
2014 - Encoder/Decoder, Adam
2015 - GAN, ResNet
2016 -
2017 - Transformer(=Attention is all you need)
2018 - Bert(fine-tuned NLP models)
2019 - Big Language Models(GPT-X)
2020 - Self-Supervised Learning
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