Deep Learning Fundamentals Theory and Applications.pdf

所需积分/C币:26 2019-05-14 10:13:18 4.43MB PDF
收藏 收藏
举报

2019年新书(Kaizhu Huang • Amir Hussain • Qiu-Feng Wang Rui Zhang著)。内容包括神经网络基础理论,深度密度模、RNN模型,基于深度学习的汉字手写体和文本识别、自然语言处理、海洋数据分析方面应用。

...展开详情
试读 127P Deep Learning Fundamentals Theory and Applications.pdf
立即下载 低至0.43元/次 身份认证VIP会员低至7折
    抢沙发
    一个资源只可评论一次,评论内容不能少于5个字
    • 分享王者

      成功上传51个资源即可获取
    关注 私信 TA的资源
    上传资源赚积分,得勋章
    最新推荐
    Deep Learning Fundamentals Theory and Applications.pdf 26积分/C币 立即下载
    1/127
    Deep Learning Fundamentals Theory and Applications.pdf第1页
    Deep Learning Fundamentals Theory and Applications.pdf第2页
    Deep Learning Fundamentals Theory and Applications.pdf第3页
    Deep Learning Fundamentals Theory and Applications.pdf第4页
    Deep Learning Fundamentals Theory and Applications.pdf第5页
    Deep Learning Fundamentals Theory and Applications.pdf第6页
    Deep Learning Fundamentals Theory and Applications.pdf第7页
    Deep Learning Fundamentals Theory and Applications.pdf第8页
    Deep Learning Fundamentals Theory and Applications.pdf第9页
    Deep Learning Fundamentals Theory and Applications.pdf第10页
    Deep Learning Fundamentals Theory and Applications.pdf第11页
    Deep Learning Fundamentals Theory and Applications.pdf第12页
    Deep Learning Fundamentals Theory and Applications.pdf第13页
    Deep Learning Fundamentals Theory and Applications.pdf第14页
    Deep Learning Fundamentals Theory and Applications.pdf第15页
    Deep Learning Fundamentals Theory and Applications.pdf第16页
    Deep Learning Fundamentals Theory and Applications.pdf第17页
    Deep Learning Fundamentals Theory and Applications.pdf第18页
    Deep Learning Fundamentals Theory and Applications.pdf第19页
    Deep Learning Fundamentals Theory and Applications.pdf第20页

    试读已结束,剩余107页未读...

    26积分/C币 立即下载 >