Links

Deep learning

Software libraries

https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software

Main article: Comparison of deep learning software
  • Deeplearning4j — An open-source deep-learning library written for Java/C++ with LSTMs and convolutional networks. It provides parallelization with Spark on CPUs and GPUs.
  • Gensim — A toolkit for natural language processing implemented in the Python programming language.
  • Keras — An open-source deep learning framework for the Python programming language.
  • Microsoft CNTK (Computational Network Toolkit) — Microsoft’s open-source deep-learning toolkit for Windows and Linux. It provides parallelization with CPUs and GPUs across multiple servers.
  • MXNet — An open source deep learning framework that allows you to define, train, and deploy deep neural networks.
  • OpenNN — An open source C++ library which implements deep neural networks and provides parallelization with CPUs.
  • PaddlePaddle — An open source C++ /CUDA library with Python API for scalable deep learning platform with CPUs and GPUs, originally developed by Baidu.
  • TensorFlow — Google’s open source machine learning library in C++ and Python with APIs for both. It provides parallelization with CPUs and GPUs.
  • Theano — An open source machine learning library for Python supported by the University of Montreal and Yoshua Bengio’s team.
  • Torch — An open source software library for machine learning based on the Lua programming language and used by Facebook.
  • Caffe – Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.
  • DIANNE – A modular open-source deep learning framework in Java / OSGi developed at Ghent University, Belgium. It provides parallelization with CPUs and GPUs across multiple servers.

The Personal Software Process (PSP)

The Personal Software Process (PSP) is a structured software development process that is intended to help software engineers better understand and improve their performance by tracking their predicted and actual development of code. The PSP was created by Watts Humphrey to apply the underlying principles of the Software Engineering Institute’s (SEI) Capability Maturity Model (CMM) to the software development practices of a single developer. It claims to give software engineers the process skills necessary to work on a Team Software Process (TSP) team.

“Personal Software Process” and “PSP” are registered service marks of the Carnegie Mellon University.[1]

Anki

Anki is a program which makes remembering things easy. Because it’s a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.

Anyone who needs to remember things in their daily life can benefit from Anki. Since it is content-agnostic and supports images, audio, videos and scientific markup (via LaTeX), the possibilities are endless.
For example:

  • Learning a language
  • Studying for medical and law exams
  • Memorizing people’s names and faces
  • Brushing up on geography
  • Mastering long poems
  • Even practicing guitar chords!

Types of Information System

Why are there different types of Information System?

In the early days of computing, each time an information system was needed it was ‘tailor made’ – built as a one-off solution for a particular problem. However, it soon became apparent that many of the problems information systems set out to solve shared certain characteristics. Consequently, people attempted to try to build a single system that would solve a whole range of similar problems. However, they soon realized that in order to do this, it was first necessary to be able to define how and where the information system would be used and why it was needed. It was then that the search for a way to classify information systems accurately began.