开课单位--艾伦人工智能研究所
1 1/1
1
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks[XNOR网:使用二元卷积神经网络的图像网分类]
Mohammad Rastegari(艾伦人工智能研究所) We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks...
热度:41
Mohammad Rastegari(艾伦人工智能研究所) We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks...
热度:41
2
The Battle for the Future of Data Mining[数据挖掘的未来之战]
Oren Etzioni(艾伦人工智能研究所) Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called 'Google brain', and achieved impressive...
热度:44
Oren Etzioni(艾伦人工智能研究所) Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called 'Google brain', and achieved impressive...
热度:44
3
Open Information Extraction at Web Scale[网络规模的开放信息抽取]
Oren Etzioni(艾伦人工智能研究所) Research interests include: fundemental problems in the study of intelligence, Web search, Machine Reading, and Machine Learning.
热度:36
Oren Etzioni(艾伦人工智能研究所) Research interests include: fundemental problems in the study of intelligence, Web search, Machine Reading, and Machine Learning.
热度:36
4
Open Information Extraction from the Web[从网上提取公开信息]
Oren Etzioni(艾伦人工智能研究所) Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., ext...
热度:29
Oren Etzioni(艾伦人工智能研究所) Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., ext...
热度:29
1 1/1