[cs231n] Recurrent Neural Networks - RNN, LSTM
Sequential data를 모델링하는데 사용되는 Recurrent Neural Networks에 대해 알아보자.
최근 포스트
[cs231n] CNN Architectures - AlexNet, VGG, GoogLeNet, ResNet
ImageNet challenge에서 발전되어온 CNN 기반 model들 history, idea 그리고 structure에 대해 알아보자.
[cs231n] Transfer Learning
pre-trained model을 활용한 transfer learning에 대해 알아보자.
[cs231n] Training Neural Networks - part 2
신경망을 학습을 위한 techniques: Regularization, Optimization, Learning rate Scheduling, Batch Normalization
[cs231n] Training Neural Networks - part 1
신경망을 학습을 위한 techniques: Activation functions, Data Preprocessing, Weight Initialization