Building Machine Learning Projects with TensorFlow 在线电子书 图书标签: tensorflow 深度学习 python Python Programming 美国 参考资料 人工智能
发表于2024-12-24
Building Machine Learning Projects with TensorFlow 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
感觉用tensorflow搞经典的机器学习模型看着好像真没啥必要,不知道可以快多少。
评分收获不大,可能是自己后面读不下去了
评分感觉用tensorflow搞经典的机器学习模型看着好像真没啥必要,不知道可以快多少。
评分前年入手的一本使用tensorflow的实践手册,目前的项目进展刚好可以用到了
评分看着费劲
About the Author
Rodolfo Bonnin Rodolfo Bonnin is a systems engineer and PhD student at Universidad Tecnologica Nacional, Argentina. He also pursued parallel programming and image understanding postgraduate courses at Uni Stuttgart, Germany. He has done research on high performance computing since 2005 and began studying and implementing convolutional neural networks in 2008,writing a CPU and GPU - supporting neural network feed forward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks, and is currently working on signal classification using ML techniques.
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Key Features Bored of too much theory on TensorFlow? This book is what you need! Thirteen solid projects and four examples teach you how to implement TensorFlow in production. This example-rich guide teaches you how to perform highly accurate and efficient numerical computing with TensorFlow It is a practical and methodically explained guide that allows you to apply Tensorflow’s features from the very beginning. Book Description This book of projects highlights how TensorFlow can be used in different scenarios - this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors. Simply pick a project that is in line with your environment and get stacks of information on how to implement TensorFlow in production. What you will learn Load, interact, dissect, process, and save complex datasets Solve classification and regression problems using state of the art techniques Predict the outcome of a simple time series using Linear Regression modeling Use a Logistic Regression scheme to predict the future result of a time series Classify images using deep neural network schemes Tag a set of images and detect features using a deep neural network, including a Convolutional Neural Network (CNN) layer Resolve character recognition problems using the Recurrent Neural Network (RNN) model About the Author Rodolfo Bonnin is a systems engineer and PhD student at Universidad Tecnologica Nacional, Argentina. He also pursued parallel programming and image understanding postgraduate courses at Uni Stuttgart, Germany. He has done research on high performance computing since 2005 and began studying and implementing convolutional neural networks in 2008,writing a CPU and GPU - supporting neural network feed forward stage.
给的代码存在很多省略,每段示例代码都默认假设你运行过之前的代码,一些变量也要照着之前的再赋值一遍,各种包导入省略不写,高度怀疑作者是写了几个大程序,然后随意抽出几片来写书的。 另外明明是介绍 tf 的书,大片篇幅在写 numpy 质量的其他库,结果只用了个 tf.Session。...
评分给的代码存在很多省略,每段示例代码都默认假设你运行过之前的代码,一些变量也要照着之前的再赋值一遍,各种包导入省略不写,高度怀疑作者是写了几个大程序,然后随意抽出几片来写书的。 另外明明是介绍 tf 的书,大片篇幅在写 numpy 质量的其他库,结果只用了个 tf.Session。...
评分给的代码存在很多省略,每段示例代码都默认假设你运行过之前的代码,一些变量也要照着之前的再赋值一遍,各种包导入省略不写,高度怀疑作者是写了几个大程序,然后随意抽出几片来写书的。 另外明明是介绍 tf 的书,大片篇幅在写 numpy 质量的其他库,结果只用了个 tf.Session。...
评分给的代码存在很多省略,每段示例代码都默认假设你运行过之前的代码,一些变量也要照着之前的再赋值一遍,各种包导入省略不写,高度怀疑作者是写了几个大程序,然后随意抽出几片来写书的。 另外明明是介绍 tf 的书,大片篇幅在写 numpy 质量的其他库,结果只用了个 tf.Session。...
评分给的代码存在很多省略,每段示例代码都默认假设你运行过之前的代码,一些变量也要照着之前的再赋值一遍,各种包导入省略不写,高度怀疑作者是写了几个大程序,然后随意抽出几片来写书的。 另外明明是介绍 tf 的书,大片篇幅在写 numpy 质量的其他库,结果只用了个 tf.Session。...
Building Machine Learning Projects with TensorFlow 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024