文件名称:
Packt Building Machine Learning Projects with TensorFlow
开发工具:
文件大小: 7mb
下载次数: 0
上传时间: 2017-09-17
详细说明： TensorFlow 机器学习的教程，不可多得。 In recent years, machine learning has changed from a niche technology asset for scientific and theoretical experts to a ubiquitous theme in the day-to-day operations of the majority of the big players in the IT field. This phenomenon st arted with the explosion in the volume of available data: During the second half of the 2000s, the advent of many kinds of cheap data capture devices (cellphones with integrated GPS, multi-megapixel cameras, and gravity sensors), and the popularization of new high-dimensional data capture (3D LIDAR and optic systems, the explosion of IOT devices, etc), made it possible to have access to a volume of information never seen before. Additionally, in the hardware field, the almost visible limits of the Moore law, prompted the development of massive parallel devices, which multiplied the data to be used to train a determined models. Both advancements in hardware and data availability allowed researchers to apply themselves to revisit the works of pioneers on human vision-based neural network architectures (convolutional neural networks, among others), finding many new problems in which to apply them, thanks to the general availability of data and computation capabilities. To solve these new kinds of problems, a new interest in creating state-of-the-art machine learning packages was born, with players such as: Keras, Scikyt-learn, Theano, Caffe, and Torch, each one with a particular vision of the way machine learning models should be defined, trained, and executed. On 9 November 2015, Google entered into the public machine learning arena, deciding to open-source its own machine learning framework, TensorFlow, on which many internal projects were based. This first 0.5 release had a numbers of shortcomings in comparison with others, a number of which were addressed later, specially the possibility of running distributed models. So this little story brings us to this day, where TensorFlow is one of the main contenders for interested developers, as the number of projects using it as a base increases, improving its importance for the toolbox of any data science practitioner. In this book, we will implement a wide variety of models using the TensorFlow library, aiming at having a low barrier of entrance and providing a detailed approach to the problem solutions. ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
