Tools: Keras in Python
Ambreen H edited this page Jul 1, 2020
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Python is an interpreted, high-level, general-purpose programming language. It is platform-independent.
- https://www.python.org/doc/essays/blurb/
- https://en.wikipedia.org/wiki/Python_(programming_language)
- Visualization of data using various libraries: Seaborn, ggplot
- Creation of data arrays and scientific computing: NumPy, Pandas
- Machine Learning techniques: TensorFlow, Keras, NLP
- The simplest way is to use python using Anaconda
Anaconda
Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment (https://www.anaconda.com/products/individual). Python can then be used within the Jupyter Notebook
Keras Keras is an open-source neural network library written in Python. Keras is compact, easy to learn, a high-level Python library runs on top of the TensorFlow framework.
- Since Keras runs on top of TensorFlow, the installation of TensorFlow would ensure the installation of Keras too.
- All instructions for installation may be found here: https://www.tensorflow.org/install
- mini-project: viral epidemics and countries