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Step 1: Identify GPU Card []
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Step 2: Download Setup Script []
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About Environment Setup Script []
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Step 3: Install GPU Driver []
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Step 4: Install CUDA Driver []
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Step 5: Install cuDNN  []
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Step 6: Install TensorRT optional  []
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Step 7: Install MiniConda  []
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Step 8: Install Jupyter  []
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Step 9: Run Setup Script []
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Step 10: Install Jupyter Kernel []
Description:
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
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