which libraries are the best for developing deep learning scripts in python?

There are several libraries that are popular for developing deep learning scripts in Python . Some of the best libraries include : \n \n 1 . Tensor Flow : Tensor Flow is an open - source library developed by Google that is widely used for deep learning . It provides a flexible and powerful platform for building and training deep learning models . \n 2 . Py Tor ch : Py Tor ch is another popular open - source library developed by Facebook that is known for its simplicity and ease of use . It provides a dynamic comput ational graph and automatic different iation , making it a great choice for rapid pro tot yp ing and experiment ation . \n 3 . K eras : K eras is a high - level neural networks API that runs on top of Tensor Flow or The ano . It provides a simple and intu itive interface for building and training deep learning models . \n 4 . C affe : C affe is an open - source deep learning framework that is designed for speed and efficiency . It provides a mod ular architecture and supports a wide range of neural network architect ures . \n 5 . Ch ainer : Ch ainer is an open - source deep learning framework that is known for its flexibility and ease of use . It provides a dynamic comput ational graph and automatic different iation , making it a great choice for rapid pro tot yp ing and experiment ation . \n \n All of these libraries are widely used and have a large community of developers contributing to their development . They provide a wide range of tools and features that make it easy to develop deep learning models in Python . </s>