Apply deep machine intelligence and GPU computing with TensorFlow v1.7 Access public datasets and use TensorFlow to load, process, and transform the data Discover how to use the high-level TensorFlow API to build more powerful applications Use deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applications

Keras Deep Learning Cookbook Copyright © 2018 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or 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 authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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. Commissioning Editor: Amey Varangaonkar Acquisition Editor: Karan Jain Content Development Editor: Karan Thakkar Technical Editor: Sagar Sawant Copy Editor: Safis Editing Project Coordinator: Nidhi Joshi Proofreader: Safis Editing Indexer: Pratik Shirodkar Graphics: Jisha Chirayil Production Coordinator: Aparna Bhagat First published: October 2018 Production reference: 1301018 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78862-175-5 www.packtpub.com

梯度下降纯手工实现 MLP CNN RNN SEQ2SEQ识别手写体MNIST数据集十分类问题代码详解.

中科计算所的一个老师在国防科大给研究生上课的几个PPT 看了感觉挺好

深度学习作业lr_utils和对应数据集，对应官网上给的代码，加了一些注释，个人对代码的理解，希望对大家有用，代码保存路径见本人博客

A Deep Learning Approach for Pose Estimation from Volumetric OCT Data

Learning a Deep Network with Spherical Part Model for 3D Hand Pose Estimation

主要讲解AI在医疗影像中的研究现状及具体应用，适合医疗影像的学者进行学习

博客地址为：https://blog.csdn.net/w5688414/article/details/84593705 用keras进行多标签分类的图片数据集，图片取自于NUS-WIDE数据集

此为中国科学院大学模式识别课件，课件作者中科院自动化所模式识别国家重点实验室刘成林老师。