데이터 분석 일지

Tags

• deep learning
• paper review
• Natural Language Processing
• NLP
• cot reasoning
• reasoning ability
• Chain-of-Thought
• Prompting
• pre-training
• Zero-shot
• residual connection
• Few-shot
• OpenAI
• gradient descent
• resnet
• learning rate
• Cot
• 통계학
• Computer Vision
• CNN
• probability and counting
• statistics 110
• zero-shot cot
• symbolic reasoning
• commonsense reasoning
• arithmetic reasoning
• residual learning
• residual networks
• masked LM
• Transformer encoder
• Bidirectional Encoder Representation from Transformer
• generative pre-training
• Probabilistic Perspective
• adaptive learning rate
• Back Propagation Trough Time
• Max-pooling
• manifold hypothesis
• geometric perspective
• Cross Entropy Loss
• Hyper-Parameter
• GPT-1
• In-Context Learning
• Time series forecasting
• multi-class classification
• GPT-3
• BPTT
• Attention is all you need
• Gradient Vanishing
• attention mechanism
• Gated Recurrent Unit
• Long Short Term Memory
• 가설 검정
• transfer learning
• fine-tuning
• rmsprop
• AdaGrad
• SGD
• Binary classification
• auto encoder
• GPT-2
• leaky relu
• self-attention
• rmse
• lstm
• Bayes Theorem
• Dimension Reduction
• Confusion Matrix
• NSP
• Recurrent Neural Network
• activation function
• ReLU
• overfitting
• Logistic Regression
• rnn
• convolutional neural network
• gru
• VGGnet
• Linear Regression
• softmax
• Backpropagation
• likelihood
• loss function
• Stride
• 시계열분석
• MSE
• BCE
• MLE
• GPT
• Bert
• NLL
• transformer
• degradation
• counting
• momentum
• regression
• Optimizer
• mlm
• 추정
• probability