Caffe Python Layer
Python layer in Caffe can speed up development process Issue1703
Recent Posts
Gentle Introduction to Gaussian Process Regression
Parametric Regression uses a predefined function form to fit the data best (i.e, we make an assumption about the distribution of data by implicitly modeling ...
Reading protobuf DB in Python
Caffe uses Google Protocol buffer and LMDB, LevelDB to save data in a single unified database file. This allows faster data loading. Faster loading is not re...
Neural Network Weight Initialization
In Neural Network training, random initialization is not a critical factor, but it can significantly slow down the training. Setting the right scale for weig...
Deconvolution for Unpacking Dense Low Dimensional Data to Sparse High Dimensional Data
Convolution (filtering) is essentially a basic operation that extracts features from high-dimensional data embedded in a sparse low-dimensional manifold. How...