TensorFlow
An open-source software library for data-flow programming and machine learning applications such as neural networks
An open-source software library for data-flow programming and machine learning applications such as neural networks
TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
TensorFlow was originally developed by researchers and engineers from the Google Brain team within Google’s AI organization.
It comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
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| # | Minimum | Recommended |
|---|---|---|
| 1 | v2.7 for Python 2 | v3.3+ for Python 3 |
| 2 | NVIDIA CUDA 7.5 | NVIDIA CUDA 8.0 required for Pascal GPUs |
| 3 | Hardware: NVIDIA® GPU card with CUDA® Compute Capability 3.5 or higher | |
| 4 | Software: NVIDIA® GPU drivers —CUDA 9.0 requires 384.x or higher, CUDA® Toolkit —TensorFlow supports CUDA 9.0, CUPTI ships with the CUDA Toolkit, cuDNN SDK (>= 7.2) | Minimum Software plus: NCCL 2.2 for multiple GPU support, TensorRT 4.0 to improve latency and throughput for inference on some models |
Machine Learning
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Artificial Intelligence
Accord.NET AForge.NET Eclipse Deeplearning4j OpenCog TensorFlow The Microsoft Cognitive Toolkit
Deep Learning
Apache MXNet (Incubating) Apache SystemML Caffe Eclipse Deeplearning4j OpenNN PyTorch TensorFlow The Microsoft Cognitive Toolkit Torch Weka