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本文介绍34页小样本学习综述《Generalizing from a Few Examples: A Survey on Few-Shot Learning》，包含166篇参考文献，来自第四范式和香港科技大学习的研究学者。

基于深度学习网络模型的鱼群异常行为识别方法

Deep Learning with Python-Francois Chollet的配套源代码

深度学习算法的自动编码解码器Python程序，可用于图像识别，或通信系统等的自动编码解码信号处理，解码编码基于深度学习的多层神经算法。

关于深度学习使用在计算机视觉上的很好的入门书，提供全部python代码，非常方便初学者学习下载

Cats vs, Dogs 的python原创代码， ipynb格式。图片数据来源https://www.kaggle.com/c/dogs-vs-cats 任务如下： Task: In this competition, you'll write an algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult. Data Description: The training archive contains 25,000 images of dogs and cats. Train your algorithm on these files and predict the labels for test1.zip (1 = dog, 0 = cat). Submission Format Your submission should have a header. For each image in the test set, predict a label for its id (1 = dog, 0 = cat): id,label 1,0 2,0 3,0 etc...

使用深度学习方法BiLSTM，并结合CRF模型的标签依赖性特点，解决命名实体识别的序列标注问题

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