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 ...

Open source project that merges deep learning and big data frameworks is said to operate more efficiently at scale and require little change to existing Spark apps Want Google TensorFlow’s deep ...

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

The world of artificial intelligence (AI) is divided into two main camps: open-source AI and corporate AI. Both have their ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

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.

Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep ...

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 ...