Tensorflow

TensorFlow is a powerful open-source machine learning framework designed for building, training, and deploying deep learning and machine learning models. It provides flexible tools for numerical computation, neural networks, and large-scale model development across CPU and GPU environments.

Key Features of TensorFlow:

• Open-source Python framework for machine learning and deep learning.
• Supports neural networks, regression, classification, and computer vision.
• High-performance numerical computation on CPU and GPU.
• Easy model building using high-level APIs like Keras.
• Widely used in AI research, data science, and production systems.

TensorFlow Usage:

$ sudo su
$ python3 -m venv tf-env
$ source tf-env/bin/activate
$ echo "export TF_CPP_MIN_LOG_LEVEL=3" >> ~/.bashrc
source ~/.bashrc
$ python -c "import tensorflow as tf; print(tf.__version__)"

To Access TensorFlow:
TensorFlow runs inside the Python environment (no web interface by default).

Disclaimer:
TensorFlow is an open-source machine learning framework maintained by its developer community. This content is provided for informational purposes only. We are not affiliated with or endorsed by TensorFlow. All trademarks and product names belong to their respective owners.