里面有两本书 Francois Chollet-Deep Learning with Python-Manning Publications (2017) 和中文版本(2018年翻译)

tensorflow-1.11.0

DEEP LEARNING 中文版，翻译的还不错，感兴趣的欢迎下载！

包含15年Natural Language Processing and Chinese Computing所有论文

Deep learning is a fascinating field. Artificial neural networks have been around for a long time, but something special has happened in recent years. The mixture of new faster hardware, new techniques and highly optimized open source libraries allow very large networks to be created with frightening ease.

著名数据标注工具Annotorious最新版本（2018/10/13）的压缩包，可以用于深度学习图像标记工作，适用于分割任务。

用于标注深度学习图片分割任务的工具，images_annotation_programme-master.zip,解压既可运行

This chapter covers the basics of TensorFlow, the deep learning framework. Deep learning does a wonderful job in pattern recognition, especially in the context of images, sound, speech, language, and time-series data. With the help of deep learning, you can classify, predict, cluster, and extract features. Fortunately, in November 2015, Google released TensorFlow, which has been used in most of Google’s products such as Google Search, spam detection, speech recognition, Google Assistant, Google Now, and Google Photos. Explaining the basic components of TensorFlow is the aim of this chapter.

本资源包含二十多万张中国车牌图片样本，包含了各种场景，各种天气下各种角度的车牌图片。由于我积分不够，所以设置了积分下载，如果积分不够可以私聊

这个压缩包是小编在学习反卷积实现的时候参考的论文汇总，包括最经典的Deconvolutional Networks还有Adaptive Deconvolutional Networks for Mid and High Level Feature Learning以及Visualizing and Understanding Convolutional Networks三篇论文，可以很好的帮助理解深度学习中的反卷积操作原理和具体流程！！