Think Different

  You might have used GPU for faster processing of your Machine Learning code with Pytorch. However, do you know that you can use that with Tensorflow as well? Here are the steps on how to enable GPU acceleration for TensorFlow to achieve faster performance: 1. Verify GPU Compatibility: Check for CUDA Support: Ensure your GPU has a compute capability of 3. 5 or higher (check NVIDIA's website). Install CUDA Toolkit and cuDNN: Download and install the appropriate CUDA Toolkit and cuDNN versions compatible with your TensorFlow version and GPU from NVIDIA's website. 2. Install GPU-Enabled TensorFlow: Use pip : If you haven't installed TensorFlow yet, use the following command to install the GPU version: Bash pip install tensorflow-gpu Upgrade Existing Installation: If you already have TensorFlow installed, upgrade it to the GPU version: Bash pip install --upgrade tensorflow-gpu 3. Verify GPU Detection: Run a TensorFlow script: Create a simple TensorFlow ...