【ML】Common Used Libraries for Ma
Tensorflow: TensorFlow is a library for Python (as well as other programming languages) that is widely used for building and training machine learning models. It was developed by the Google Brain team and released as an open-source library in 2015.
PyTorch: PyTorch is a library for Python that is widely used for building and training machine learning models. It was developed by Facebook's AI research team and released as an open-source library in 2016.
Keras: Keras is an open-source deep learning library that is used to build and train deep learning models. It was originally developed by François Chollet in 2015 and is now part of the TensorFlow project. Keras provides a simple and easy-to-use interface for creating and training neural networks, which makes it a popular choice for beginners and experts alike. One of the key advantages of Keras is its flexibility and ease of use. Keras allows you to quickly prototype and test neural network models, and it can be used with a variety of backends, including TensorFlow, Theano, and CNTK. This makes it easy to experiment with different neural network architectures and training algorithms and to quickly iterate on your models to find the best solutions for your problems.