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

There are several libraries that are commonly used for developing deep learning scripts in Python . Some of the most popular ones include : \n \n 1 . T ensor Flow : This is an open - source library developed by Google that is widely used for building and deploy ing machine learning models . It provides a wide range of tools and APIs for building and training deep learning models . \n 2 . Py T orch : This is another popular open - source library developed by Facebook that is used for building and training deep learning models . It provides a dynamic computational graph and allows for easy experiment ation and pro tot yp ing . \n 3 . Ker as : This is a high - level neural networks API that is written in Python and is capable of running on top of T ensor Flow , C NT K , or The ano . It provides a simple and user - friend ly interface for building and training deep learning models . \n 4 . Sci kit - learn : This is a popular machine learning library in Python that provides a wide range of tools and algorithms for building and training machine learning models . While it does not provide deep learning capabilities , it can be used in conj unction with other libraries to build deep learning models . \n 5 . M X Net : This is an open - source machine learning library that provides a flexible and efficient platform for building and deploy ing machine learning models . It supports both symbol ic and imper ative programming and provides a wide range of tools and APIs for building and training deep learning models . \n \n U lt imately , the choice of library will depend on the specific needs of your project and your personal prefer ences . </s>