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Jipu Xun-[Online Training Preview] NVIDIA DIGITS Learning Development Tools and Their Applications in Migration Learning

Migration Learning

ASUS High Performance DNN Learning Dedicated Platform ZenSystem - GPUS JITI Xun

learning is one of the fastest growing segments in the field of machine learning/artificial intelligence and one of the key areas in the computer revolution. Use neural networks (DNNs) to teach computers to detect identifiable elements in data. Researchers and industry insiders are using DNN for image and video cl ification, machine vision, speech recognition, natural language processing, audio recognition and more. As researchers continue to develop new learning algorithms, and commercial companies continue to collect and generate large amounts of data, computing power is the key to exploring the mysteries of data. Today, GPUs have successfully accelerated DNNs algorithms, especially for large and complex DNNs, where GPUs are the platform of choice. The current mainstream learning framework has been fused with GPU acceleration, including Caffe, Torch7, Theano and CUDA-Convent2. Because of DNNS's important breakthroughs in the industry and academia, and the key role played by GPUs, NVIDIA CEO Huang Renxun introduced the world's first interactive DIGITS ( GPU Training System) at the GTC conference in March 2015. , a new system for integrated development, training, visualization, and multi-depth neural network task management that transforms the power of learning into an intuitive browser-based interface that enables data scientists and researchers to quickly visualize through the use of real-time network behavior Design the best data DNN.

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GPU Training - TensorRT Advantages and Applications in Learning (Bottom)

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