But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title such as Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and ...

(Source: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition) Extras: Take a look at the final chapters ...

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial Topics Spotlight: New Thinking about Cloud Computing ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

A key part of the TensorFlow ecosystem is the Keras API suite, which provides a set of Python language-based deep learning capabilities on top of the core TensorFlow technology.