TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

TensorFlow by Google is famous for deep learning, while Scikit-learn for machine learning has been praised for its simplicity and effectiveness in executing classical machine learning tasks. The ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

There are many open-source machine learning libraries for Python, including TensorFlow, PyTorch, Scikit-learn, Keras, and Theano. These libraries are free to use and have a large community of ...

With that said, it performs best when operated on a tensor processing unit (TPU). The Python library is often used to implement reinforcement learning in ML and DL models, and you can directly ...

This book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, ...

A Python Program to implement Machine Learning for the Game Tic Tac Toe (3x3) using Reinforcement Learning (Q learning technique) and tensorflow. Tested on windows and ubutnu with Python 3.5.2 ...

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library ...