TensorFlow 2.0 GPU, Keras, and Python 3.7 Installation Guide for Windows 10 - 2020 Update
Jeff Heaton via YouTube
Overview
Learn how to set up TensorFlow 2.0 with GPU support, Keras, and Python 3.7 on Windows 10 in this comprehensive video tutorial. Follow step-by-step instructions to identify your GPU card, install necessary drivers (GPU, CUDA, cuDNN, and optionally TensorRT), set up MiniConda and Jupyter, and create a TensorFlow environment. Gain insights into the differences between Anaconda and MiniConda, and learn how to create and test a TensorFlow environment using Anaconda. Execute provided setup scripts and install Jupyter kernels to ensure a fully functional deep learning development environment.
Syllabus
Step 1: Identify GPU Card []
Step 2: Download Setup Script []
About Environment Setup Script []
Step 3: Install GPU Driver []
Step 4: Install CUDA Driver []
Step 5: Install cuDNN Â []
Step 6: Install TensorRT optional  []
Step 7: Install MiniConda  []
Step 8: Install Jupyter  []
Step 9: Run Setup Script []
Step 10: Install Jupyter Kernel []
Taught by
Jeff Heaton