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。

神经网络最大的优点,以及最严重的缺陷

人工智能头条 2018-10-17 11:36
神经网络,太神了
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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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从零开始深度学习:利用numpy手写一个感知机

no_speaking 2018-06-11 00:03
从零开始深度学习:利用numpy手写一个感知机
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Very Deep Convolutional Networks for Large-Scale Image Recognition

辉仔 2018-01-10 10:31
In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of in

Rethinking Atrous Convolution for Semantic Image Segmentation

dwSun 2018-01-15 20:12
In this work, we revisit atrous convolution, a powerful tool to explicitly adjust filter's field-of-view as well as control the resolution of feature responses computed by Deep Convolutional Neural Ne

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

辉仔 2018-01-10 11:09
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised learning with CNNs has received less attenti

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

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

辉仔 2018-01-10 10:49
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. This slows down the trai

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