State-of-the-art neural network models for visual recognition, by contrast, rely heavily or exclusively on feedforward computation. Any finite-time recurrent neural network (RNN) can be unrolled along time to yield an equivalent feedforward neural network (FNN). This important insight suggests ...
this paper proposes five partially recurrent neural networks architectures to evaluate the different roles played by interlayer and intralayer feedback connections in planning a temporal sequence of states. the first model has only one-to-one feedback connections from the output towards the input ...
The current paper reviews a connectionist model, the recurrent neural network with parametric biases (RNNPB), in which multiple behavior schemata can be le... J Tani,M Ito,Y Sugita - 《Neural Netw》 被引量: 291发表: 2004年 Organization of face and object recognition in modular neural networ...
Objective: To present the argument that the only secure foundation for a theory of behaviour, and ultimately of mind, rests at the level of single neurons, and to assess progress at this level of explanation. Methods: Relevant data were obtained by a search of PubMed, last updated in Janua...
Some recent works on soft sensor applications focused on deep neural network architectures such as the recurrent neural network (RNN) (Kataria and Singh, 2018), convolutional neural network (CNN) (Yuan et al., 2020c), generative adversarial network (GAN) (He et al., 2020a, Wang and Liu,...
of go with deep neural networks and tree search. Nature 529(7587):484489, http://www.nature.com/nature/journal/v529/n7587/abs/nature16961.html. [22] Williams, R. J. and Zipser, D. (1989). A learning algorithm for continually running fully recurrent neural networks. Neural computation,...
本文作者华南理工大学胡杨,本文首发于知乎专栏 GAN + 文本生成 + 读博干货。AI 研习社已获得作者授权。本文为下篇,上篇参见强化学习在生成对抗网络文本生成中扮演的角色(Role of RL in Text Generation by GAN)(上)。 5. 一些细节 + 一些延伸 上文所述的,只是 RL + GAN 进行文本生成的基本原理,大家知道,GA...
process audio output from patients with Parkinson’s disease [39], and a recurrent neural network was used to process accelerometer data from patients with atopic dermatitis [40]. These novel digital biomarkers may facilitate the efficient conduct and patient-centeredness of clinical trials, but this...
Deep learning algorithm CNN Convolutional neural network Extraction of high-level features of an image or text through components such as convolutional, pooling and fully connected layers RNN Recurrent neural network Saving and updating historical information in a sequence by means of a loop cell LSTM...
However, biological neural networks are mostly constructed with a recurrent topology, and recurrent (artificial) neural network models are able to exhibit rich temporal dynamics, thus time becomes an essential factor in their operation. In this paper, we will investigate the emergence of recollection ...