InstallSQLiteStudio-3.2.1.7z

SQLiteStudio是一款绿色小巧的SQLite数据库可视化工具，支持多国语言，能导出多种数据格式，如：csv、html、plain、sql、xml等。除此之外，软件功能强大，能同时打开多个数据库文件，也支持查看和编辑二进制字段，从而实现有效的数据库编辑管理操作。

Introduction to Deep Learning.pdf

Introduction to Deep Learning Introduction to Deep Learning

Deep Learning for Search.pdf

Deep Learning for Search is a practical book about how to use (deep) neural networks to help build effective search engines. This book examines several components of a search engine, providing insights on how they work and guidance on how neural networks can be used in each context. Emphasis is given to practical, example-driven explanations of search and deep learning techniques, most of which are accompanied by code. At the same time, references to relevant research papers are provided where applicable to encourage you to read more and deepen your knowledge on specific topics. Neural network and search-specific topics are explained throughout the book as you read about them.

PyTorch Recipes_ A Problem-Solution Approach.pdf

PyTorch Recipes _ A Problem-Solution Approach This book is intended for data scientists, natural language processing engineers, artificial intelligence solution developers, existing practitioners working on graph computation frameworks, and researchers of graph theory. This book will get you started with understanding tensor basics, computation, performing arithmetic-based operations, matrix algebra, and statistical distribution-based operations using the PyTorch framework.

Deep Learning and Missing Data in Engineering Systems.pdf

Deep Learning and Missing Data in Engineering Systems

Deep Learning for Dummies.pdf

Deep Learning for Dummies When you work through Deep Learning For Dummies, you gain access to a lot of example code that will run on a standard Mac, Linux, or Windows system. You can also run the code online using something like Google Colab. (We provide pointers on how to get the information you need to do this.) Special equipment, such as a GPU, will make the examples run faster. However, the point of this book is that you can create deep learning code no matter what sort of machine you have as long as you’re willing to wait for some of it to complete. (We tell you which examples take a long time to run.)

Deep Reinforcement Learning for Wireless Networks.pdf

Deep Reinforcement Learning for Wireless Networks

Fog Computing, Deep Learning and Big Data Analytics-Research Directions.pdf

Fog Computing, Deep Learning and Big Data Analytics-Research Directions

Deep Learning_ Convergence to Big Data Analytics.pdf

Deep Learning_ Convergence to Big Data Analytics

Deep Learning_ Fundamentals, Theory and Applications.pdf

Deep Learning_ Fundamentals, Theory and Applications