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.
TensorFlow 2.0 GPU, Keras, and Python 3.7 Installation Guide for Windows 10 - 2020 Update
Jeff Heaton via YouTube
Overview
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
