查看“大数据智能-论文阅读”的源代码
←
大数据智能-论文阅读
跳转至:
导航
、
搜索
因为以下原因,你没有权限编辑本页:
您刚才请求的操作只对以下1个用户组开放:
用户
。
您可以查看并复制此页面的源代码:
阅读论文清单 基础 Understanding the difficulty of training deep feedforward neural networks. 数据集 ImageNet: A Large-Scale Hierarchical Image Database, CVPR 2009. ImageNet Classification with Deep Convolutional Neural Networks, NIPS 2012. 机器视觉基础 DeepFace: Closing the Gap to Human-Level Performance in Face Verification, CVPR 2014. Region-based convolutional networks for accurate object detection and segmentation, IEEE PAMI 2016. 语音识别基础 Long short term memory neural computation, Neural computation 9 (8), 1735-1780, 1997. LSTM Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks, ICML 2006. On the Properties of Neural Machine Translation: Encoder-Decoder Approaches, SSST-8, 2014. Towards End-To-End Speech Recognition with Recurrent Neural Networks, ICML 2014. Speech recognition with deep recurrent neural networks, ICASSP 2013. Hybrid speech recognition with deep bidirectional LSTM, ASRU 2013. 第一次: Speech Recognition Deep Speech 2 End-to-End Speech Recognition in English and Mandarin, JMLR 2016. Geoffrey Hinton et al., "Deep neural networks for acoustic modeling in speech recognition." IEEE Signal Processing Magazine 29.6 (2012): 82-97. EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding, ASRU 2015. Learning the Speech Front-end With Raw Waveform CLDNNs, InterSpeech 2015. Convolutional, long short-term memory, fully connected deep neural networks, ICASSP 2015. Context dependent phone models for LSTM RNN acoustic modelling, ICASSP 2015. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition, ICASSP 2015. Audio augmentation for speech recognition, InterSpeech 2015. 第二次: TTS (Text To Speech) DeepVoice: Real-Time Neural Text-to-Speech Wavenet: A generative model for raw audio Char2wav: End-to-end speech synthesis 第二次: Recommender System [x] Covington P, Adams J, Sargin E. Deep neural networks for youtube recommendations, ACM Recsys, 2016. [x] Ask the GRU: Multi-task Learning for Deep Text Recommendations 第三次: Machine Translation [x] Sutskever, I., Vinyals, O. & Le, Q. V. Sequence to sequence learning with neural networks. In Proc. Advances in Neural Information Processing Systems 27, 3104–3112 (2014). [x] Cho, Kyunghyun, et al., Learning phrase representations using RNN encoder-decoder for statistical machine translation, EMNLP 2014. 第三次: Reinforcement Learning Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? Off-Policy Neural Fitted Actor-Critic A Deep Hierarchical Approach to Lifelong Learning in Minecraft Guided Deep Reinforcement Learning for Additive Manufacturing Control Application Deep Visual Foresight for Planning Robot Motion
返回
大数据智能-论文阅读
。
导航菜单
个人工具
创建账户
登录
名字空间
页面
讨论
变种
查看
阅读
查看源代码
查看历史
操作
搜索
导航
首页
实践教学
个性化3D设计与实现
人工智能实践教学
区块链技术及应用
虚拟现实技术与内容制作
超越学科界限的认知基础课程
电子工艺实习
Nand2Tetris Engine Curriculum
TULLL Creative Learning Group
Wiki上手说明
Wiki账户创建
最近更改
工具
链入页面
相关更改
特殊页面
页面信息