Numpy
Artificial Intelligence, Machine Learning, Deep Learning
Practice 02: Basic Machine Learning
SL/USL, Optimization, SGD, N-fold Cross Validation, Underfitting, Overfitting, Curse of Dimensionality, Regularization
Logistic Regression(Odds, Log-Odds), Single Neuron, Multi-Layer Perceptron, Backpropagation, Autograd
[AI504] Practice 03: Neural Networks & Backprop
Autoencoder에 대해 알아보자
[AI504] Practice 04: Autoencoders
Variational Autoencoder에 대해 알아보자
Practice 05: Variational Autoencoders
Generative Adversarial Network에 대해 알아보자
[AI504] Practice 06: Generative Adversarial Networks
[AI504] Practice 06: Generative Adversarial Networks
CNN에 대해 알아보자
[AI504] Practice 07: CNN
Practice 08: Word Embedding
RNN, Seq2Seq, Attention
[AI504] Practice 09: Recurrent Neural Networks
Transformer
Practice 10: Transformer
Word Embedding, Contextualized Word Embedding, ELMo, GPT, BERT, BLOOM
Practice 11: BERT
Graph Neural Network
Practice 12: Graph Neural Networks
Deep diffusion probabilistic model(DDPM), Deep diffusion implicit model(DDIM), Classifier-guided diffusion
Practice 13: Deep Diffusion Probabilistic Model
Image-to-text, Text-to-image, Image-Text Multi-modal pre-training
Practice 14: Image-text Multi-modal Learning