All Posts

A guide for implementing elementwise loss in pytorch. Elementwise loss refers to assign different weight for different pixel/voxel in the image when calculating the loss.

A tutorial for switching from Matlab to Python, mainly for researchers in deep learning and computer vision, especially those working with biomedical images.

I have been using the word, Biomedical Image Analysis, for a long time. But, I only have some sense of the difference between biological and medical images, in the context of image analysis.

Computer vision and biomedical image analysis are much more than deep learning. I will use this post to share interesting topics that are not deep learning.

A list of good materials for improving your writing & presentation skills, which should be foundamental elements in a good researcher's skillset.

A list of open source tools for biomedical image analysis

A presentation given by Ben Glocker on Deep Learing in Healthcare Summit 2017 in London, which is about deep learning in medical image analysis

The reading note of SSD, DSSD, and TDM

The reading note of YOLO and YOLOv2

The reading note of FractalNet

The reading note of network in network

Reading Note of Densely Connected Convolutional Network

Reading Note of Wide Residual Network

The reading note of PixelNet

We need to read research papers every week to study cutting-edge applications, classic methods, new knowledge, etc.. So, we must have a tool that allows us to quickly read and organize the papers, as well as the notes we take during reading. I will share my personal experience here.

The reading note of two papers related to hypercolumn

Reading Note of Deep Active Contour

A brief description of Reinforcement Learning (RL) and a high level description of Deep DL

Hands-on practice in visualizaing and understanding CNN models and list of good sources

About the special role that the initial layers in a CNN model is playing

A brief introduction to MatConvNet, a deep learning framework in Matlab. Installation, basic usage, coding philosophy, and examples will be introducted.

Play with XGBoost on Windows 7

My deep learning study note and reading list.

layout: post title: “Introduction to RNN” date: 2016-04-26 excerpt: “A Gentle Introduction to Recurrent Neural Network” tag:

• RNN
• Deep Learning Study comments: true —

The usage of unpack in Torch/Lua

The memory issue in Torch 7 and its solution

Be careful with data type in Torch 7