Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. The language provides constructs intended to enable writing clear programs on both a small and large scale.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems. Using third-party tools, such as Py2exe or Pyinstaller, Python code can be packaged into stand-alone executable programs for some of the most popular operating systems, so Python-based software can be distributed to, and used on, those environments with no need to install a Python interpreter.
CPython, the reference implementation of Python, is free and open-source software and has a community-based development model, as do nearly all of its variant implementations. CPython is managed by the non-profit Python Software Foundation.
Orbifold2019-03-31 14:38:222019-03-31 14:44:30Fairness
It is a common misconception that AI is absolutely objective, since AI is objective only in the sense of learning what human teaches.
Orbifold2019-03-24 16:32:552019-03-24 16:36:02Text classification with Tensorflow 2.0
The classic IMDB classification based on Tensoflow 2.0
Orbifold2019-03-24 07:51:052019-03-24 16:39:49Fashion MNIST using Temsorflow 2.0
The MNIST fashion set consists of images of clothing, like sneakers and shirts. It's somewhat more complex than the the classic MNIST dataset.
Orbifold2019-03-23 15:36:132019-03-23 15:36:13Serving TensorFlow models
Restify TF networks and other ways to serve intelligence.
Orbifold2019-03-23 12:37:572019-03-23 12:58:41The Keras Functional API
The Keras API makes creating deep learning models fast and easy.
Orbifold2018-10-27 07:28:262018-10-27 07:31:09Graph nets
Learning from graphs rather than from tabular data.
Orbifold2018-09-16 06:37:492018-09-16 06:38:31Cross validated predictions
Crossval predictions instead of the usual fit-predict approach.
Orbifold2018-09-16 06:17:102018-09-16 06:17:10Kernel visualization
Kernels can be seen as histogram generalizations.
Orbifold2018-09-16 06:04:122018-09-16 06:04:12Visualizing decision tree boundaries
Visualizing the decision intersections for a 2D classification via decision trees.
Orbifold2018-09-16 05:34:432018-09-16 05:40:48Isotonic regression
A lesser-known, step-like function approximation method.