Archives
- 22 Oct Word Representation
- 10 Jul Proximal Policy Optimization (PPO)
- 09 Jul Actor-Critic Policy Gradient
- 08 Jul Monte-Carlo Policy Gradient
- 07 Jul Deep Q-Learning
- 06 Jul Model-free Control
- 05 Jul Model-free Prediction
- 04 Jul Solving MDP
- 03 Jul Bellman Equation and Optimality
- 02 Jul Markov Decision Process
- 01 Jul Introduction to Reinforcement Learning
- 04 Jun Generative Adversarial Network (GAN)
- 03 Jun Variational Autoencoders (VAE)
- 02 Jun Transformer and Self-attention
- 01 Jun Sequence-to-Sequence and Attention
- 31 May Autoencoder
- 30 May Transfer Learning
- 28 May Batch and Layer Normalizations
- 27 May Advanced Regularization
- 26 May LSTM and GRU
- 26 May Hyperparameters in Deep Learning
- 25 May Recurrent Neural Network
- 24 May Convolutional Neural Network
- 23 May Backpropagation
- 22 May FeedForward Neural Networks
- 21 May Architecture Design
- 20 May Mathematics for Deep Learning
- 19 May Introduction to Deep Learning
- 18 May Clustering
- 17 May Support Vector Machines
- 16 May Boosting
- 15 May Bagging and Random Forest
- 14 May Decision Trees
- 13 May Non-Linear Regression Model
- 12 May Dimension Reduction
- 11 May Regularization
- 10 May Feature Subset Selection
- 09 May Bootstrap
- 08 May Cross-validation
- 07 May Hyperparameter
- 06 May Model Evaluation Metric
- 05 May Discriminant Analysis
- 04 May Logistic Regression
- 03 May Linear Regression
- 02 May Bias-Variance Trade-off
- 01 May Momentum
- 30 Apr Stochastic Gradient Descent
- 29 Apr Optimization vs Learning
- 28 Apr Constrained Optimization
- 27 Apr Unconstrained Optimization
- 26 Apr Convex Optimization
- 25 Apr Calculus Backgrounds
- 24 Apr Matrix Computation
- 13 Apr Camera Model
- 12 Apr Projective Geometry and Homography
- 11 Apr Scale-Invariant Feature Transform (SIFT)
- 10 Apr Histogram of Oriented Gradients (HOG)
- 09 Apr Edge Detection
- 08 Apr Morphological Image Processing
- 07 Apr Thresholding
- 06 Apr Image Restoration
- 05 Apr Unitary Image Transform
- 04 Apr Frequency Domain Filters
- 03 Apr Spatial Filters
- 02 Apr Affine Transformation and Correction
- 01 Apr Nyquist Sampling Theory
- 02 Mar Data Preprocessing Process
- 01 Mar Overview of Data Preprocessing
- 08 Feb Variational Inference
- 07 Feb Markov Chain Monte-Carlo
- 06 Feb Monte-Carlo Method
- 05 Feb Bayesian Statistics
- 04 Feb Nonparametric Statistics
- 03 Feb Parameter Estimation and Hypothesis Test
- 02 Feb Joint Probability Distribution
- 01 Feb Probability Distribution