深度学习12大常见问题解答(附答案)

no_speaking 2018-06-10 23:37
阿尔法狗让深度学习登上了数据科学世界的巅峰。深度学习成为了当今最热门的话题之一,但对于大多数人来说,这是一个陌生而又神秘的学科。很多人认为,深度学习就是包括了大量的数学和统计知识。本文列举了常见的12个深度学习的问题。
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神经网络太好骗?清华团队如何做到打NIPS攻防赛得三项目冠军的

人工智能头条 2018-11-14 17:54
神经网络是傻子吗?张子豪带来他的解读
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普通视频转高清:10个基于深度学习的超分辨率神经网络

人工智能头条 2018-07-13 13:58
用于超分辨率的深度学习基本框架,以及衍生出的各种网络模型,其中有些网络在满足实时性方面也有不错的表现。

图神经网络综述:方法及应用 | Deep Reading

AI科技大本营 2019-03-18 15:20
本次论文浅尝在分享这篇论文的基础上,对图神经网络的相关方法及应用作一次梳理。
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Identity Mappings in Deep Residual Networks

jixiaohui 2018-01-10 12:10
Deep residual networks have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors. In this paper, we analyze the propagation formulations behin

深度学习入门必须理解这25个概念

TinyMind 2018-06-07 17:12
初学者必看~

Debug神经网络的五项基本原则

AI科技大本营 2019-03-20 15:26
Cecelia Shao 通过提供一种思路以表达她对调试神经网络所遵循的五项原则
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Rethinking the Inception Architecture for Computer Vision

辉仔 2018-01-10 11:10
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yieldin

Dynamic Routing Between Capsules

dwSun 2018-02-06 16:16
A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity such as an object or an object part. We use the length of the activity vector

Fully Convolutional Networks for Semantic Segmentation

辉仔 2018-01-10 10:46
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-a
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