At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, today, Google announced the release of version 1.0 of its TensorFlow open source framework for deep learning, a trendy ...

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Keras provides a high-level API that simplifies deep learning model development. It runs efficiently on Linux as a frontend to TensorFlow, allowing developers to rapidly prototype AI models.

Full rewrite of the deep neural network API supports Keras workflows on top of the three leading machine learning frameworks.