[vc_row][vc_column][vc_column_text]The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch as well as many other deep learning applications. Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.[/vc_column_text][vc_empty_space][vc_row_inner][vc_column_inner width=”1/6″][vc_column_text]
[/vc_column_text][/vc_column_inner][vc_column_inner width=”2/3″][vc_column_text]Caffe is a deep learning framework made with expression, speed, and modularity in mind. Caffe is developed by the Berkeley Vision and Learning Center (BVLC), as well as community contributors and is popular for computer vision.
Caffe supports cuDNN v5 for GPU acceleration.
Supported interfaces: C, C++, Python, MATLAB, Command line interface
Learning Resources
Deep learning course: Getting Started with the Caffe Framework
Blog: Deep Learning for Computer Vision with Caffe and cuDNN[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/6″][vc_btn title=”Download Caffe” color=”green” link=”url:http%3A%2F%2Fcaffe.berkeleyvision.org%2Finstallation.html||target:%20_blank|”][vc_btn title=”Download CuDNN” color=”blue” link=”url:https%3A%2F%2Fdeveloper.nvidia.com%2Fcudnn||target:%20_blank|”][/vc_column_inner][/vc_row_inner][vc_empty_space][dt_fancy_separator][vc_empty_space][vc_row_inner][vc_column_inner width=”1/6″][vc_column_text]
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NVIDIA DIGITS FOR HEALTHCARE
The NVIDIA Deep Learning GPU Training System (DIGITS™) puts the power of deep learning in the hands of data scientists and researchers. DIGITS lets you quickly design the best neural network for medical imaging, helping with classification, detection, or segmentation.
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NVIDIA DGX FOR HEALTHCARE
It takes large amounts of computationally expensive research to develop better cancer drugs, faster genomic analysis, and more precise imaging results. NVIDIA® DGX™ is the world’s first purpose-built system for deep learning, with fully integrated hardware and software for quick and easy deployment.
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