## Posts

### OpenCV dnn module walkthrough 2: layers – the base class

### OpenCV dnn module walkthrough 1: background, important files and classes

### DCGAN Summary and Experiments

### ResNet: annotated version

### Various SGDs

### Really understand VAE

### Preparing 3D building data from CityGML for machine learning projects

### Distributed Stochastic Gradient Descent with MPI and PyTorch

### 重读 hierarchical attention network for document classification

### 2D convolution with tiling technique on GPU

### Understanding GRUs

### pointnet 论文理解

### Writing Python tests: doctest, unittest, pytest

### Using ROS with Conda

### Two approaches for logistic regression

### Encoding categorical features: likelihood, one-hot, and feature selection

### Probability, statistics, frequentist and Bayesian

### Machine Learning in Spark

### Recommendation System: Matrix Factorization

### Three types of gradient descent

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