Currently, CUDA Toolkit 8.0 is required by deep learning frameworks. It enables dramatic increases in computing performance by harnessing the power of the GPU. CUDAĬUDA is a parallel computing platform and programming model invented by NVIDIA. If your computer has NVIDIA GPU cards, see NVIDIA Driver Downloads or try an operating system update to install the latest driver. NVIDIA GPU driverĭeep learning frameworks take advantage of NVIDIA GPU to let machines learn at a speed, accuracy, and scale towards true artificial intelligence. Software introduction in the following subsections is excerpted from their homepages. Also ensure you've installed Python and Python libraries such as NumPy, SciPy, and appropriate deep learning frameworks such as Microsoft Cognitive Toolkit (CNTK), TensorFlow, Caffe2, MXNet, Keras, Theano, PyTorch, and Chainer, that you plan to use in your project. This includes making sure you have the latest drivers and libraries for your NVIDIA GPU (if you have one). Select Visual Studio Tools for AI from the results.īefore training deep learning models on your local computer, make sure you have the applicable prerequisites installed. In the search box in the upper right-hand corner, type or enter "tools for ai". In the Extensions and Updates dialog box, select Online on the left-hand side. You can download the tools from the Visual Studio Marketplace, or from within Visual Studio: This extension works with Visual Studio 2015 and Visual Studio 2017, Community edition or higher. Visual Studio Tools for AI can be installed on Windows 64-bit operating systems.
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