This course provides a complete walkthrough of setting up TensorFlow/Keras with GPU support on Windows 11 by installing Visual C++, CUDA, CuDNN, and Python libraries using a "pip install" method. The course aims to teach the installation process step by step, including setting up Jupyter and creating a TensorFlow/Keras environment. The intended audience for this course is individuals interested in deep learning on Windows 11 using GPU acceleration.
Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning
Jeff Heaton via YouTube
Overview
Syllabus
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
Taught by
Jeff Heaton
