TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Following is what you need for this book: TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with ...

In this report, we try to optimize an idea which already has been presented under title " Learning Deep Representations for Graph clustering" by F. Tian, B. Gao, Q. Cui, E. Chen, T. Liu. The idea is ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Last November, Google opened up its in-house machine learning software TensorFlow, making ...

Despite the existence of multiple deep learning frameworks, there is a lack of comprehensible and easy-to-use high-level tools for the design, training, and testing of deep neural networks (DNNs) ...

Tensor flow, Flask API, and machine learning techniques were used to implement multiple illness analyses. The model behavior is saved using Python pickling, ... heart disease, malaria, and pneumonia, ...

Google developed TensorFlow, which was made open source in 2015. It evolved from Google’s in-house machine learning software, which was refactored and optimized for production use. The term ...

Ubuntu, a Debian-based Linux operating system, offers a perfect platform for machine learning tasks. Known for its ease of use, robustness, and extensive community support, Ubuntu pairs seamlessly ...