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

That's why in today's article, we will be creating a relatively simple ConvNet classifier that is capable of classifying between Hot Dogs and Not Hot Dogs. Being inspired by a television series, we ...

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

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 ...

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 ...

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

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

TensorFlow Lite 1.0 for lightweight machine learning on mobile and IoT devices made its debut today with a number of improvements and shared a dev roadmap.

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.