Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Learn how to set up CUDA, CUDNN, Keras, and TensorFlow for GPU-accelerated deep learning on Windows 11 in this comprehensive video tutorial. Follow a step-by-step guide to install the latest version of TensorFlow/Keras with GPU support using pip. Cover essential steps including installing Visual C++, CUDA, CuDNN, and required Python libraries. Explore topics such as NVIDIA video driver installation, Visual C++ setup, CUDA and CuDNN configuration, Anaconda and Miniconda installation, Jupyter setup, environment creation, Jupyter kernel configuration, and TensorFlow/Keras installation. Gain insights into troubleshooting common issues and test your Jupyter setup to ensure everything is working correctly.

Installation Guides
Step 1: NVIDIA Video Driver
Step 2: Visual C++
Step 3: CUDA
Step 4: CuDNN
Step 5: Anaconda and Miniconda
Step 6: Jupyter
Step 7: Environment
Step 8: Jupyter Kernel
Step 9: TensorFlow/Keras
Problems?
Test Jupyter