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TensorFlow is an open-source machine learning framework developed by Google to facilitate the implementation of deep learning models. It offers a comprehensive ecosystem for building, training, and deploying machine learning and deep learning algorithms across a range of platforms and devices.

Features of TensorFlow:

• TensorFlow provides a flexible architecture that allows users to define and train various types of neural network models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.
• It offers extensive support for parallel computing and distributed training, enabling efficient utilization of resources and scalability across multiple GPUs and CPUs.
• TensorFlow includes a rich collection of pre-built components and modules, such as layers, optimizers, and metrics, streamlining the development process and reducing the need for manual implementation.
• It features robust tools for model evaluation, debugging, and visualization, empowering users to analyze model performance, identify errors, and gain insights into the underlying data patterns.

sudo su
  
cd /opt/tensorflow_env_py310
      
source venv/bin/activate
      
python -c "import tensorflow as tf; print('TensorFlow version:', tf.__version__)"