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  • pdf文档 8 4 Deep Learning with Python 费良宏

    2016的目标:Web爬虫+深度学习+自然语言处理 = ? Microso� Apple AWS 今年最激动人心的事件? 2016.1.28 “Mastering the game of Go with deep neural networks and tree search” 今年最激动人心的事件? 2016年3月Alphago 4:1 击败李世石九段 人工智能 VS. 机器学习 VS. 深度学习 文的自动分类 半监督学习 - 介于监督学习和无监督学习之间,算法: Graph Inference 或者Laplacian SVM 强化学习- 通过观察来学习做成如何的动作, 算法:Q-Learning以及时间差学习 机器学习- 方法及流程 输入特征选择 – 基于什么进行预测 目标 – 预测什么 预测功能 – 回归、聚类、降维... Xn -> F(xn) -> T(x) 机器学习- (NYU,2002), Facebook AI, Google Deepmind Theano (University of Montreal, ~2010), 学院派 Kersa, “Deep Learning library for Theano and TensorFlow” Caffe (Berkeley),卷积神经网络,贾扬清 TensorFlow (Google) Spark MLLib
    0 码力 | 49 页 | 9.06 MB | 1 年前
    3
  • pdf文档 10. 许振影 Python 深度学习技术在医学领域的应用与前景

    •Python的数据科学生态 •Python的数据科学生态 Kdnuggets&Kaggle :Deep Learning Framework Power Scores 2018 深度学习 在医疗领域应用实践 深度学习在医疗领域论文情况 Kwak G H J, Hui P. DeepHealth: Deep Learning for Health Informatics[J]. arXiv preprint
    0 码力 | 17 页 | 1.84 MB | 1 年前
    3
  • pdf文档 PyConChina2022-杭州-ARM芯片的Python+AI算力优化-朱宏林

    Conv、Linear、Transformers 来源: Why GEMM is at the heart of deep learning, Pete Warden Convolution • AlexNet 模型推理各个层计算比例 • 86.1% • 2.6% 来源: Learning Semantic Image Representations at a Large Scale, Yangqing
    0 码力 | 24 页 | 4.00 MB | 1 年前
    3
  • pdf文档 07 FPGA 助力Python加速计算 陈志勇

    /openDownload?filename=all_mo dels_20190528.zip Ø Xilinx AI Forums Ø https://forums.xilinx.com/t5/Deep hi-DNNDK/bd-p/Deephi Python in Edge AI Computing – Xilinx DNNDK 27 马达控制和可预测性维护 FOC Algorithm Numpy and Scikit-learn With Jupyter Notebook 28 Python in Cloud AI Computing – Xilinx Machine Learning Suite Supported Frameworks: • Caffe • MxNet • Tensroflow Examples • DeepDetect REST Tutorial Intel x86 Supported FaaS • AWS F1 Xilinx Alveo PCIe 加速卡 • U50, U200, U250, U280 Ø 开发套件: Machine learning suite Ø AI inference IP: xDNN Ø AI development tools: xfDNN Ø 在云端的AI 应用,可以接受 python 语言进行部署,做数据预处理和后处理工作。
    0 码力 | 34 页 | 6.89 MB | 1 年前
    3
  • pdf文档 Notes for install Keras on Anaconda3

    r-tensorflow 4 conda install -c conda-forge r-keras C) Open the RStudio and run the following deep learning model to check the installation works: library(keras) mnist <- dataset_mnist() train_images
    0 码力 | 3 页 | 654.13 KB | 8 月前
    3
  • pdf文档 Conda 23.5.x Documentation

    directions. Looking for more information on conda? Anaconda has a free Conda Basics course in Anaconda Learning. Dive deeper • Configure your conda files. • Follow the tasks to manage conda environments, channels unsatisfiable_hints: true # # unsatisfiable_hints_check_depth (int) # # An integer that specifies how many levels deep to search for # # unsatisfiable dependencies. If this number is 1 it will complete the # # unsatisfiable Development Environment 179 conda Documentation, Release 0.0.0.dev0+placeholder 6.4 Deep dives This section contains a series of deep dives into particularly complex parts of conda. 6.4.1 conda install In this
    0 码力 | 370 页 | 3.11 MB | 8 月前
    3
  • epub文档 peewee Documentation Release 1.0.0

    implementation incredibly simple. I’ve made a couple dives into django’s orm but have never come away with a deep understanding of its implementation. peewee is small enough that its my hope anyone with an interest sugar for peewee Calling it syntactic sugar is a bit of a stretch. I wrote this stuff for fun after learning about ISBL [http://en.wikipedia.org/wiki/Relational_algebra] from a coworker. The blog post can
    0 码力 | 101 页 | 163.20 KB | 1 年前
    3
  • pdf文档 peewee Documentation Release 1.0.0

    implementation incredibly simple. I’ve made a couple dives into django’s orm but have never come away with a deep understanding of its implementation. peewee is small enough that its my hope anyone with an interest sugar for peewee Calling it syntactic sugar is a bit of a stretch. I wrote this stuff for fun after learning about ISBL from a coworker. The blog post can be found here. At any rate, ISBL (Information Systems
    0 码力 | 71 页 | 405.29 KB | 1 年前
    3
  • pdf文档 django cms 3.10.x Documentation

    current page (as a nested list). The first argument, levels (default=100), specifies how many levels deep the sub menu should be displayed. The second argument, root_level (default=None), specifies at what useful when your site has deep page hierarchies (and therefore multiple levels in its navigation trees). In such a case, you usually don’t want to present site visitors with deep menus of nested items. improve the documentation, or other tasks, such as writing a blog article series about your journey of learning django CMS (See community tasks). After you have acquainted yourself with django CMS and maybe already
    0 码力 | 296 页 | 1.79 MB | 1 年前
    3
  • pdf文档 Mypy 1.8.0 Documentation

    don’t want to read lots of documentation before getting started, here are some pointers to quick learning resources: • Read the mypy cheatsheet. • Read Using mypy with an existing codebase if you have 8.0 Limitations Mypy will not understand expressions that use variables of type Literal[..] on a deep level. For example, if you have a variable a of type Literal[3] and another variable b of type Literal[5] recommendations on how to handle any issues you may encounter along the way. If you are interested in learning about how to configure the actual way mypy type checks your code, see our The mypy command line
    0 码力 | 234 页 | 902.89 KB | 1 年前
    3
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