TensorFlow is a powerful open source software library for high performance numerical computation using data flow graphs. 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. The framework helps build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.
TensorFlow comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. It has many pre-built functions to ease the task of building different neural networks. TensorFlow allows distribution of computation across different computers, as well as multiple CPUs and GPUs within a single machine.
TensorFlow provides a Python API, as well as a less documented C++ API.
TensorFlow is by far the most popular machine learning library. It’s used by Google, OpenAI, NVIDIA, Intel, SAP, eBay, Airbus, Uber, Airbnb, Snap, Dropbox and startups.
Key Features
- Efficient, flexible, scalable, and maintainable.
- Python API.
- Portability: deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
- Visualization.
- Save and restore models, graphs.
- Auto-differentiation autodiff.
- Provides an extensive suite of functions and classes that allow users to define models from scratch.
- Provides users with pre-built algorithms for simpler model development.
- Supplies large data sets for training individual models.
- Many high level APIs are built on top of TensorFlow.
- Flexibility: Available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS. Run the software from Raspberry Pi, Android, Windows, iOS, Linux to server farms.
Website: www.tensorflow.org
Support: GitHub Code Repository, User Groups
Developer: The TensorFlow Authors
License: Apache License 2.0
The software was originally developed by researchers and engineers from the Google Brain team within Google’s AI organization.
TensorFlow is written in C++ and Python. Learn C++ with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
Related Software
| Deep Learning with Python | |
|---|---|
| TensorFlow | A very popular Deep Learning framework |
| PyTorch | Tensors and Dynamic neural networks in Python |
| Keras | High-level neural networks API |
| fastai | Simplifies training fast and accurate neural nets using modern best practices |
| PyTensor | Library for fast numerical computation |
| Elephas | Distributed deep learning with Keras and Spark |
| Chainer | Powerful, flexible, and intuitive framework for neural networks |
| Caffe | Convolutional Architecture for Fast Feature Embedding |
| TFlearn | Deep learning library featuring a higher-level API for TensorFlow |
| MXNet | Flexible and efficient library |
| CNTK | Distributed deep learning |
| Neupy | Python library for Artificial Neural Networks and Deep Learning |
Read our verdict in the software roundup.
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