• Keras is an excellent framework for deep learning, I am willing to write something about Keras in this blog. Adding with some example codes, I think we can understand the accessibility of Keras in details.

• TensorFlow ,theano and Keras are deep learning frameworks. TensorFlow and theano are more flexible and difficult to learn. They are actually a differentiator. Keras is actually the interface between TensorFlow and Keras (Keras as the front end, TensorFlow or theano as the back end), it is also very flexible and easy to learn. You can think of keras as an API after tensorflow encapsulation.

• When it comes to the construction of medical knowledge gragh, the step of Named Entity Recgonition is necessary. This artical is my own understanding of the whole process on how to construct a complete and useful medical kg based on the research of our research team.

• In view of my current research about classification of gene mutation, I will share some knowledge about deep learning.

• This is our research team’s achievement of constructing knowledge graph in medical area. It mainly uses some simple statistical method including naive Bayes and Noisy OR.

• This is the sharing of my understanding of multi tasks optimization. Imagine there is one product to produce. You need to set the optimized parameters to make the product in a high performance. There are more than one tasks for you to let them achieve a high performance. That is to say, when one tast achieves the best, the other tasks may have low performance. So we need multi-task-opt to achieve a high performance globally.

• This is the sharing of my understanding of single task optimization. Imagine there is one product to produce. You need to set the optimized parameters to make the product in a high performance.

• This is introduction about the algorithms coded in python. Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that that is simple and easy, portable, extensible, build-in data structure and it is an open source.

• This is the beginning of my blog. I mainly share some optimization of algorithms by my own methods with the help of python documents and some research projects that interest me a lot.