Berkeley 大学最近推出的针对自动驾驶的街景数据集,号称比 Cityscapes 数据量更大,可泛化性更好. 语义实例分割(Semantic Instance Segmentation) 数据集一共有 40 种物体类别 与 Cityscapes 的对比 街景数据来自 US 的城市 模型更熟悉美国的街景. 图片标签 时间:daytime, nighttime, dawn/dusk; 场景:Residential,High-way, City street, Parking lot, Gas…

Using Siamese Networks and Pre-Trained Convolutional Neural Networks (CNNs) for Fashion Similarity Matching Resources Code for the project is available here. Deep Fashion dataset is available here. Data Science Virtual Machine documentation. Visual S…

最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…

1.结构图 Introduction Feature extraction, deformation handling, occlusion handling, and classification are four important components in pedestrian detection. Existing methods learn or design these components either individually or sequentially. The inte…

Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…

Classifying plankton with deep neural networks The National Data Science Bowl, a data science competition where the goal was to classify images of plankton, has just ended. I participated with six other members of my research lab, the Reservoir lab o…

Growing Pains for Deep Learning Advances in theory and computer hardware have allowed neural networks to become a core part of online services such as Microsoft's Bing, driving their image-search and speech-recognition systems. The companies offering…

catalogue . 引言 . Neural Networks Transform Space - 神经网络内部的空间结构 . Understand the data itself by visualizing high-dimensional input dataset - 输入样本内隐含的空间结构 . Example : Word Embeddings in NLP - text word文本词语串内隐含的空间结构 . Example : Paragraph Vectors in NLP…

声明:所有内容来自coursera,作为个人学习笔记记录在这里. Regularization Welcome to the second assignment of this week. Deep Learning models have so much flexibility and capacity that overfitting can be a serious problem, if the training dataset is not big enough. Sure it do…

What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…