TensorFlow tutorials and best practices. Contribute to kkonstas88/TensorFlow2.0-tutorial development by creating an account on GitHub.

TensorFlow Examples This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.

Google’s TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity TensorFlow 2.0, the next major version of Google’s open source ...

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer ...

TensorFlow 2.0 is aimed at gaining back the growing traction that seems to be shifting towards PyTorch among other frameworks.

Google announced TensorFlow 2.0 is now available for public use. The alpha version of the deep learning library made its debut this spring.

With TensorFlow 2.0, Google is making API components integrate better with tf.keras as the recommended high-level API for most users.

This is new: TensorFlow 2.18 integrates the current version 2.0 of NumPy and, with Hermetic CUDA, will no longer require local CUDA libraries during the build.