没有合适的资源？快使用搜索试试~ 我知道了~

首页Learning Jupyter 无水印英文高清完整.pdf版下载

Learning Jupyter 无水印英文高清完整.pdf版下载

Learning

Jupyter

需积分: 9 112 下载量 112 浏览量更新于2023-05-29 5 收藏 7.87MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

试读

230页

Learning Jupyter 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除本资源转载自网络，如有侵权，请联系上传者或csdn删除

资源详情

资源推荐

Learning Jupyter

Learn how to write code, mathematics, graphics, and output,

all in a single document, as well as in a web browser using

Project Jupyter

Dan Toomey

BIRMINGHAM - MUMBAI

Learning Jupyter

transmitted in any form or by any means, without the prior written permission of the

publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the

information presented. However, the information contained in this book is sold without

warranty, either express or implied. Neither the author, nor Packt Publishing, and its

dealers and distributors will be held liable for any damages caused or alleged to be caused

directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the

companies and products mentioned in this book by the appropriate use of capitals.

However, Packt Publishing cannot guarantee the accuracy of this information.

First published: November 2016

Production reference: 1241116

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-78588-487-0

www.packtpub.com

Credits

Author

Dan Toomey

Copy Editors

Vikrant Phadke

Safis Editing

Reviewer

Jesse Bacon

Project Coordinator

Nidhi Joshi

Commissioning Editor

Veena Pagare

Proofreader

Safis Editing

Acquisition Editor

Manish Nainani

Indexer

Mariammal Chettiyar

Content Development Editor

Aishwarya Pandere

Graphics

Disha Haria

Technical Editor

Prasad Ramesh

Production Coordinator

Nilesh Mohite

About the Author

Dan Toomey has been developing applications for over 20 years. He has worked in a

variety of industries and size companies in roles from sole contributor to VP/CTO level. For

the last 10 years or so, he has been contracting to companies in the eastern Massachusetts

area. Dan has been contracting under Dan Toomey Software Corp. Again, as a contractor

developer in the area. Dan has also written R for Data Sciences with Packt Publishing.

剩余229页未读，继续阅读

《Learning Jupyter》Dan Toomey.pdf

Learn how to write code, mathematics, graphics, and output, all in a single document, as well as in a web browser using Project Jupyter Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book. Table of Contents 1: INTRODUCTION TO JUPYTER 2: JUPYTER PYTHON SCRIPTING 3: JUPYTER R SCRIPTING 4: JUPYTER JULIA SCRIPTING 5: JUPYTER JAVASCRIPT CODING 6: INTERACTIVE WIDGETS 7: SHARING AND CONVERTING JUPYTER NOTEBOOKS 8: MULTIUSER JUPYTER NOTEBOOKS 9: JUPYTER SCALA 10: JUPYTER AND BIG DATA

Learning Concurrent Programming in Scala 无水印pdf 0分

Learning Concurrent Programming in Scala 英文无水印pdf pdf使用FoxitReader和PDF-XChangeViewer测试可以打开

Jupiter notebook

self.learning_rate = config.learning_rate self.learning_rates = [self.learning_rate, self.learning_rate * 0.5, self.learning_rate * 0.1] self.learning_rate_boundaries = [50000, 75000] self.max_iter = 10000 self.test_iter = 5000 self.disp_iter = 100 self.snapshot_iter = 5000 self.test_initialization = False self.reg_constant = 0.0 self.data_format = 'channels_first' self.network_parameters = OrderedDict(num_filters_base=config.num_filters_base, activation=config.activation, dropout_ratio=config.dropout_ratio, num_levels=config.num_levels, heatmap_initialization=True, data_format=self.data_format)

- self.learning_rates：学习率列表，根据self.learning_rate计算得到，包括三个值，分别为self.learning_rate、self.learning_rate * 0.5、self.learning_rate * 0.1。 - self.learning_rate_boundaries：学习率...

envi deep learning v1.0深度学习操作教程_202003.pdf

《envi deep learning v1.0深度学习操作教程_202003.pdf》是一本关于ENVI深度学习版本1.0的操作教程。ENVI是一款专业的遥感图像处理软件，而深度学习则是当前计算机视觉和人工智能领域的热门技术。这本教程主要...

无法解析名称 'learning.simulink.preferences.coursefeature.hasfeature

这个错误提示表明了在Simulink软件中无法解析名称'learning.simulink.preferences.coursefeature.hasfeature'。这可能是由于以下几种原因导致的： 1. 未正确安装Simulink软件或软件版本不兼容。您可能需要检查您的...

reinforcement learning sutton .pdf

随后，书中介绍了一些重要的强化学习算法，如动态规划(Dynamic Programming)、蒙特卡洛方法(Monte Carlo Methods)、时间差分学习(Temporal Difference Learning)和Q学习(Q-Learning)等。此外，《强化学习：理论与...

Java 安装deeplearning4j

1. 下载 Deeplearning4j 的压缩包，可在官网下载，也可在 GitHub 中下载。 2. 解压缩 Deeplearning4j 的压缩包，将解压后的文件夹重命名为 `deeplearning4j`。 3. 安装 Maven，可在 Maven 官网下载。 4. 配置 ...

(base) C:\Users\李浩杨\Desktop\machine_learning_notebook>jupyter trust LR Tutorial.ipynb [TrustNotebookApp] ERROR | Notebook missing: LR 明明有LR Tutorial.ipynb文件，为啥还会这样？应该怎么操作呢？

可能是因为路径中包含了中文字符，导致无法正确找到文件...请确保你正确指定了文件的路径和文件名，并且在命令行中执行命令时，所处的目录包含了 jupyter 命令。这样应该能够成功执行 trust 命令来信任你的笔记本文件。

deep learning 英文版pdf

Deep learning，深度学习的英文版PDF可以通过网络搜索或在线学术资源网站获取。许多学术出版商如Springer、IEEE Xplore等提供了深度学习相关的英文书籍和论文的电子版。此外，也可以通过在线图书商店如Amazon等购买...

https://arxiv.org/pdf/1608.04644.pdf

However, I can tell you that the link you provided leads to a PDF document titled "Deep Learning for Computer Vision: A Brief Review" authored by Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, ...

class RNN: def init(self, input_size, hidden_size, output_size): self.input_size = input_size self.hidden_size = hidden_size self.output_size = output_size # 初始化参数 self.Wxh = np.random.randn(hidden_size, input_size) * 0.01 # 输入层到隐藏层的权重矩阵 self.Whh = np.random.randn(hidden_size, hidden_size) * 0.01 # 隐藏层到隐藏层的权重矩阵 self.Why = np.random.randn(output_size, hidden_size) * 0.01 # 隐藏层到输出层的权重矩阵 self.bh = np.zeros((hidden_size, 1)) # 隐藏层偏置 self.by = np.zeros((output_size, 1)) # 输出层偏置 # 初始化隐藏状态 self.h = np.zeros((hidden_size, 1)) def forward(self, x): # 更新隐藏状态 self.h = np.tanh(np.dot(self.Wxh, x) + np.dot(self.Whh, self.h) + self.bh) # 计算输出 y = np.dot(self.Why, self.h) + self.by # 返回输出和隐藏状态 return y, self.h def backward(self, x, y, target, learning_rate): # 计算输出误差 dy = y - target # 计算隐藏状态误差 dh = np.dot(self.Why.T, dy) * (1 - self.h ** 2) # 计算权重和偏置的梯度 dWhy = np.dot(dy, self.h.T) dby = np.sum(dy, axis=1, keepdims=True) dWxh = np.dot(dh, x.T) dWhh = np.dot(dh, self.h.T) dbh = np.sum(dh, axis=1, keepdims=True) # 更新权重和偏置 self.Why -= learning_rate * dWhy self.by -= learning_rate * dby self.Wxh -= learning_rate * dWxh self.Whh -= learning_rate * dWhh self.bh -= learning_rate * dbh 帮写一下用online_shopping_10_cats数据集训练以上模型train函数以及test函数

train(model, train_sequences, train_labels, learning_rate, epochs) # 测试模型 test(model, test_sequences, test_labels) ``` 在训练模型时，我们使用了 online_shopping_10_cats 数据集，并对数据进行了...

官网下载Deeplearning4j 的步骤

官网下载 Deeplearning4j 的步骤如下： 1. 打开 Deeplearning4j 的官网，网址为 https://deeplearning4j.konduit.ai/。 2. 点击页面上方的 "Download" 按钮。 3. 在新页面中，可以看到 Deeplearning4j 的各个版本...

请用中文帮我写一个基于prompt learning 的文本分类研究综述的框架

三、基于Prompt Learning 的文本分类研究 1. Prompt Learning概述 2. 基于Prompt Learning的文本分类模型 3. 基于Prompt Learning的文本分类实验研究四、基于Prompt Learning的文本分类应用实践 1. 情感分析 2. ...

yinkaisheng-nj

粉丝: 763
资源: 6952

上传资源快速赚钱

我的内容管理收起

我的资源快来上传第一个资源

我的收益

登录查看自己的收益

我的积分登录查看自己的积分

我的C币登录后查看C币余额

我的收藏

我的下载

下载帮助

会员权益专享

Learning Jupyter 无水印英文高清完整.pdf版下载

《Learning Jupyter》Dan Toomey.pdf

Learning Concurrent Programming in Scala 无水印pdf 0分

Jupiter notebook

deeplearning深度学习笔记v5.72.pdf

python machine learning machine learning and deep learning with python.pdf

learning markdown write for the web faster.pdf

mit deep learning.pdf

deep-learning-with-pytorch.pdf 15章

python强化学习项目 python reinforcement learning projects - 2018.pdf

envi deep learning v1.0深度学习操作教程_202003.pdf

无法解析名称 'learning.simulink.preferences.coursefeature.hasfeature

reinforcement learning sutton .pdf

Java 安装deeplearning4j

(base) C:\Users\李浩杨\Desktop\machine_learning_notebook>jupyter trust LR Tutorial.ipynb [TrustNotebookApp] ERROR | Notebook missing: LR 明明有LR Tutorial.ipynb文件，为啥还会这样？应该怎么操作呢？

deep learning 英文版pdf

https://arxiv.org/pdf/1608.04644.pdf

官网下载Deeplearning4j 的步骤

请用中文帮我写一个 基于prompt learning 的文本分类研究综述 的框架

会员权益专享

最新资源

请用中文帮我写一个基于prompt learning 的文本分类研究综述的框架