deep learning

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deep learning 相关的电子技术资料,包括技术文档、应用笔记、电路设计、代码示例等,共 548 篇文章,持续更新中。

基于ARM+CORTEX-M3的STM32系列嵌入式微控制器的应用实践_1

<p></p><p>资源较大,分为两个部分,已全部上传:</p><p>第一部分:https://dl.21ic.com/download/arm-429326.html&nbsp;&nbsp;&nbsp;</p><p>第二部分:https://dl.21ic.com/download/arm-429325.html&nbsp;&nbsp;</p><p><br/></p><p>本书介绍了意法半导体(

高清电子书-C++ Primer Plus 第6版英文版 1438页

<p>高清电子书-C++ Primer Plus, 第6版英文版 1438页</p><p>Learning C++ is an adventure of discovery, particularly because the language accommodates several programming paradigms, including object-oriented programm

深度学习 deep learning 经典书籍教程合集,共11本

图像配准理论及算法研究.pdf cnn_tutorial.pdf Deep Learning(深度学习)学习笔记整理.pdf 00.神经⽹络与深度学习.pdf deep learning.pdf 深度学习方法及应用PDF高清晰完整版.pdf 斯坦福大学-深度学习基础教程.pdf 深度学习基础教程.pdf deep+learning.pdf 深度学习 中文版 ---文字版.pdf 神经网络与机器学习

Star Trek_ Deep Space Nine - A Stitch in Time

Star Trek_ Deep Space Nine - A Stitch in Time - Andrew J. Robinson 英文版 格式 epub

深度学习中文电子书籍资料合集

计算智能.人工神经网络·模糊系统·进化计_12531.pdf 30.1M 斯坦福大学-深度学习基础教程.pdf 9.4M [游戏人工智能编程案例精粹].(Programming.Game.AI.by.Example).(美)Mat.Buckland.扫描版.pdf 54.4M 深度学习基础教程.pdf 9.5M [模式识别与智能计算:MATLAB技术实现(第2版)].杨淑莹.扫描版.pdf 29.

100+篇深度学习英文论文资料合集

2.5 Neural Turing Machine - 2.1 Model - .DS_Store 10KB 2.4 RNN Sequence-to-Sequence Model - 2.8 One Shot Deep Learning - 2.7 Deep Transfer Learning Lifelong Learning especially for RL - 2.2 Optimizati

Machine learning

Machine learning is about designing algorithms that automatically extract<br /> valuable information from data. The emphasis here is on “automatic”, i.e.,<br /> machine learning is concerned about gen

Machine Learning Healthcare Technologies

Much has been written concerning the manner in which healthcare is changing, with<br /> a particular emphasis on how very large quantities of data are now being routinely<br /> collected during the ro

Machine Learning and IoT

The present era of research and development is all about interdisciplinary studies<br /> attempting to better comprehend and model our understanding of this vast universe.<br /> The fields of biology

interpretable-machine-learning

Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers<br /> usually do not explain their predictions which is a barrier to the adoption of machine learning.<br /> This

Intelligence_-A-Modern-Approach

Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the<br /> full breadth of the field, which encompasses logic, probability, and continuous mathematics;<br

Foundations+of+Machine+Learning+2nd

This book is a general introduction to machine learning that can serve as a reference<br /> book for researchers and a textbook for students. It covers fundamental modern<br /> topics in machine learn

Embedded_Deep_Learning_-_Algorithms

Although state of the art in many typical machine learning tasks, deep learning<br /> algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount<br /> of required computations and huge

eisenstein-nlp-notes

The goal of this text is focus on a core subset of the natural language processing, unified<br /> by the concepts of learning and search. A remarkable number of problems in natural<br /> language proc

Deep-Learning-with-PyTorch

We’re living through exciting times. The landscape of what computers can do is<br /> changing by the week. Tasks that only a few years ago were thought to require<br /> higher cognition are getting so

Deep_Learning_for_Computer_Architects

This book is intended to be a general introduction to neural networks for those with a computer<br /> architecture, circuits, or systems background. In the introduction (Chapter 1), we define key vo-<

Deep Learning---1

Inventors have long dreamed of creating machines that think. This desire dates<br /> back to at least the time of ancient Greece. The mythical figures Pygmalion,<br /> Daedalus, and Hephaestus may all

Bishop-Pattern-Recognition-and-Machine-Learning

Pattern recognition has its origins in engineering, whereas machine learning grew<br /> out of computer science. However, these activities can be viewed as two facets of<br /> the same field, and toge

Auto-Machine-Learning-Methods-Systems-Challenges

The past decade has seen an explosion of machine learning research and appli-<br /> cations; especially, deep learning methods have enabled key advances in many<br /> applicationdomains,suchas compute

A Course in Machine Learning

Machine learning is a broad and fascinating field. Even<br /> today, machine learning technology runs a substantial part of your<br /> life, often without you knowing it. Any plausible approach to art