 深度学习与PyTorch入门实战 - 02. 开发环境安装开发环境准备 主讲人:龙良曲 开发环境 ▪ Python 3.7 + Anaconda 5.3.1 ▪ CUDA 10.0 ▪ Pycharm Community ANACONDA CUDA 10.0 ▪ NVIDIA显卡 CUDA 安装确认 路径添加到PATH CUDA 测试 PyTorch安装 管理员身份运行cmd PyCharm ▪ 配置Interpreter0 码力 | 14 页 | 729.50 KB | 1 年前3 深度学习与PyTorch入门实战 - 02. 开发环境安装开发环境准备 主讲人:龙良曲 开发环境 ▪ Python 3.7 + Anaconda 5.3.1 ▪ CUDA 10.0 ▪ Pycharm Community ANACONDA CUDA 10.0 ▪ NVIDIA显卡 CUDA 安装确认 路径添加到PATH CUDA 测试 PyTorch安装 管理员身份运行cmd PyCharm ▪ 配置Interpreter0 码力 | 14 页 | 729.50 KB | 1 年前3
 《TensorFlow 快速入门与实战》2-TensorFlow初接触Container Virtual Machine Docker Container � Docker ��� TensorFlow https://hub.docker.com/editions/community/docker-ce-desktop-mac 1. Install Docker for Mac 2. Run Docker for Mac 3. Pull a TensorFlow0 码力 | 20 页 | 15.87 MB | 1 年前3 《TensorFlow 快速入门与实战》2-TensorFlow初接触Container Virtual Machine Docker Container � Docker ��� TensorFlow https://hub.docker.com/editions/community/docker-ce-desktop-mac 1. Install Docker for Mac 2. Run Docker for Mac 3. Pull a TensorFlow0 码力 | 20 页 | 15.87 MB | 1 年前3
 《Efficient Deep Learning Book》[EDL] Chapter 7 - Automationmodel with each of these four options to make an informed decision. Blessed with a large research community, the deep learning field is growing at a rapid pace. Over the past few years, we have seen newer0 码力 | 33 页 | 2.48 MB | 1 年前3 《Efficient Deep Learning Book》[EDL] Chapter 7 - Automationmodel with each of these four options to make an informed decision. Blessed with a large research community, the deep learning field is growing at a rapid pace. Over the past few years, we have seen newer0 码力 | 33 页 | 2.48 MB | 1 年前3
 《Efficient Deep Learning Book》[EDL] Chapter 2 - Compression Techniquesmodel. Deep learning is an exciting and fast growing field which is fortunate to enjoy a large community of researchers, developers and entrepreneurs. It excites us when we come across a problem that it0 码力 | 33 页 | 1.96 MB | 1 年前3 《Efficient Deep Learning Book》[EDL] Chapter 2 - Compression Techniquesmodel. Deep learning is an exciting and fast growing field which is fortunate to enjoy a large community of researchers, developers and entrepreneurs. It excites us when we come across a problem that it0 码力 | 33 页 | 1.96 MB | 1 年前3
 keras tutorialhighly powerful and dynamic framework and comes up with the following advantages:  Larger community support.  Easy to test.  Keras neural networks are written in Python which makes things0 码力 | 98 页 | 1.57 MB | 1 年前3 keras tutorialhighly powerful and dynamic framework and comes up with the following advantages:  Larger community support.  Easy to test.  Keras neural networks are written in Python which makes things0 码力 | 98 页 | 1.57 MB | 1 年前3
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