TensorFlow

TensorFlow is an open-source deep learning and machine learning framework developed by Google. It provides a scalable ecosystem for building, training, and deploying neural network models across CPUs, GPUs, and TPUs.

Features of TensorFlow:

• TensorFlow enables developers to create production-ready deep learning models using a flexible and modular architecture, supporting high-performance model training and deployment.
• It offers support for diverse AI workflows through tools such as Keras for rapid prototyping, TensorFlow Lite for mobile and IoT devices, and TensorFlow Serving for scalable deployments.
• TensorFlow includes comprehensive visualization and debugging tools like TensorBoard, enabling real-time insights into model structure, performance, and training progress.

TensorFlow installation and virtual environment are securely stored under the /opt/tensorflow directory.

To verify the working of TensorFlow:

  $ sudo su
  $ cd /opt/tensorflow
  $ source tf-env/bin/activate
  $ python3
  $ Inside your python shell, run:
    >> import tensorflow as tf
    >> print(tf.__version__)
    >> print("TensorFlow installed successfully!")
  $ Build production-ready deep learning applications using TensorFlow’s flexible ecosystem, including Keras, TensorFlow Lite, and TensorFlow Serving.
  

Disclaimer: TensorFlow is an open-source deep learning framework distributed under the Apache License 2.0. It is not affiliated with, endorsed by, or sponsored by any third-party organization outside its official contributors. TensorFlow is provided "as is," without any warranty, express or implied. Users operate TensorFlow at their own risk. The developers and contributors to TensorFlow bear no responsibility for any damages, losses, or consequences resulting from its usage. Users are encouraged to comply with licensing terms and all applicable regulations while using TensorFlow.