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  • mobi文档 Computer Programming with the Nim Programming Language

    some people might skip Part I, and because it is generally beneficial to reinforce the reader’s learning process through repetition. Part III will give you an overview of Nim’s standard library, which programming, traditional textbooks have been partly replaced by videos, "Crash course" books, and "Learning by doing" books. Indeed, a good video may help you start with a new language, and it can enable necessarily improve the reading and concentration issues that people might have. "Crash course" and "Learning by doing" books may give you a good start, but for that, we already have a lot of textual tutorials
    0 码力 | 865 页 | 7.45 MB | 1 年前
    3
  • epub文档 Computer Programming with the Nim Programming Language

    some people might skip Part I, and because it is generally beneficial to reinforce the reader’s learning process through repetition. Part III will give you an overview of Nim’s standard library, which programming, traditional textbooks have been partly replaced by videos, "Crash course" books, and "Learning by doing" books. Indeed, a good video may help you start with a new language, and it can enable necessarily improve the reading and concentration issues that people might have. "Crash course" and "Learning by doing" books may give you a good start, but for that, we already have a lot of textual tutorials
    0 码力 | 784 页 | 2.13 MB | 1 年前
    3
  • epub文档 PaddleDTX 1.0.0 中文文档

    et al. Federated learning: Strategies for improving communication efficiency[J]. arXiv preprint arXiv:1610.05492, 2016. [2] Yang Q, Liu Y, Chen T, et al. Federated machine learning: Concept and applications[J] [3] Goodfellow I, Bengio Y, Courville A. Deep learning[M]. MIT press, 2016. [4] Goodfellow I, Bengio Y, Courville A. Machine learning basics[J]. Deep learning, 2016, 1(7): 98-164. [5] Paillier P. Public-key
    0 码力 | 53 页 | 1.36 MB | 1 年前
    3
  • epub文档 PaddleDTX 1.1.0 中文文档

    et al. Federated learning: Strategies for improving communication efficiency[J]. arXiv preprint arXiv:1610.05492, 2016. [2] Yang Q, Liu Y, Chen T, et al. Federated machine learning: Concept and applications[J] [3] Goodfellow I, Bengio Y, Courville A. Deep learning[M]. MIT press, 2016. [4] Goodfellow I, Bengio Y, Courville A. Machine learning basics[J]. Deep learning, 2016, 1(7): 98-164. [5] Paillier P. Public-key
    0 码力 | 57 页 | 1.38 MB | 1 年前
    3
  • epub文档 BAETYL 0.1.6 Documentation

    also supports customize module(which can be written in any programming language or any machine learning framework). Simplify Application Production: Baetyl combines with Cloud Management Suite of BIE http://dl.baetyl.io/install_with_docker_example.sh | sudo -E bash - The example configuration is for learning and testing purposes only. Users should perform on-demand configuration according to actual working https://baetyl.io Import Pytorch third-party libraries Pytorch is a widely used deep learning framework for machine learning. We can import a third-party library Pytorch [https://pytorch.org/] to use its functions
    0 码力 | 119 页 | 11.46 MB | 1 年前
    3
  • epub文档 BAETYL 1.0.0 Documentation

    also supports customize module(which can be written in any programming language or any machine learning framework). Simplify Application Production: Baetyl combines with Cloud Management Suite of BIE http://dl.baetyl.io/install_with_docker_example.sh | sudo -E bash - The example configuration is for learning and testing purposes only. You should perform on-demand configuration according to actual working https://baetyl.io Import Pytorch third-party libraries Pytorch is a widely used deep learning framework for machine learning. We can import a third-party library Pytorch [https://pytorch.org/] to use its functions
    0 码力 | 135 页 | 15.44 MB | 1 年前
    3
  • epub文档 Kotlin 1.9.10 官方文档 中文版

    optimal performance. KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. It offers simple APIs for training deep learning models from scratch, importing existing Keras models models for inference, and leveraging transfer learning for tweaking existing pre-trained models to your tasks. Kotlin DataFrame is a library for structured data processing. It aims to reconcile Kotlin's mathematics. OptaPlanner——一个用于优化规划问题的求解器实用程序 Charts——一个正在开发中的科学 JavaFX 图表库 Apache OpenNLP - a machine learning based toolkit for the processing of natural language text CoreNLP——一个自然语言处理工具包 Apache Mahout——一个回归、聚类与推荐的分布式框架
    0 码力 | 3753 页 | 29.69 MB | 1 年前
    3
  • epub文档 Inkscape Beginners’ Guide 1.1

    click on the far right icon in the tool control bar . This is very useful, when you’re still learning how to master the usage of the circular handles! When you need to draw a rectangle with accurate designer and educational instructor [http://activdesign.eu/]. It was created as a reference guide for learning Inkscape. It is available under a Creative Commons license (CC BY-SA [https://creativecommons
    0 码力 | 241 页 | 14.61 MB | 1 年前
    3
  • epub文档 Inkscape Beginners’ Guide unstable

    click on the far right icon in the tool control bar . This is very useful, when you’re still learning how to master the usage of the circular handles! When you need to draw a rectangle with accurate designer and educational instructor [http://activdesign.eu/]. It was created as a reference guide for learning Inkscape. It is available under a Creative Commons license (CC BY-SA [https://creativecommons
    0 码力 | 241 页 | 30.89 MB | 1 年前
    3
  • epub文档 Inkscape Beginners’ Guide latest

    click on the far right icon in the tool control bar . This is very useful, when you’re still learning how to master the usage of the circular handles! When you need to draw a rectangle with accurate designer and educational instructor [http://activdesign.eu/]. It was created as a reference guide for learning Inkscape. It is available under a Creative Commons license (CC BY-SA [https://creativecommons
    0 码力 | 240 页 | 15.19 MB | 1 年前
    3
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