###### artificial

- What is bias in artificial neural network? (codingvideos.net)
- Artificial neural network . (pearltrees.com)
- An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain. (pearltrees.com)
- An artificial neural network consists of a set of nodes, connected by adaptive weights. (sflscientific.com)
- Recurrent nets are a type of artificial neural network designed to recognize patterns in sequences of data, such as text, genomes, handwriting, the spoken word, or numerical times series data emanating from sensors, stock markets and government agencies. (skymind.ai)
- Recurrent quantum neural network (RQNN) is an artificial neural network model which can perform stochastic filtering without any prior knowledge of the signal and noise. (springer.com)
- Our deep learning artificial neural networks have won numerous contests in pattern recognition and machine learning. (odsc.com)

###### convolutional neural

- ImageNet) and the revival of deep convolutional neural networks (CNN). (pubmedcentralcanada.ca)
- In this paper, we exploit three important, but previously understudied factors of employing deep convolutional neural networks to computer-aided detection problems. (pubmedcentralcanada.ca)
- Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. (slideshare.net)

###### RNNs

- Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. (pearltrees.com)
- These are known as recurrent neural nets (RNNs) that we shall discuss in a subsequent entry. (sflscientific.com)

###### Nodes

- Neural nets are a type of machine learning model that mimic biological neurons-data comes in through an input layer and flows through nodes with various activation thresholds. (infoq.com)

###### chaotic

- Some recurrent neural nets are chaotic systems. (blogspot.com)

###### Neurons

- For example, a neural network for handwriting recognition is defined by a set of input neurons which may be activated by the pixels of an input image. (pearltrees.com)

###### sequence

- Finally, we present LSTMVoter , a two-stage application of recurrent neural network s that integrates the optimized sequence labelers from our study into a single ensemble classifier. (biomedcentral.com)

###### context

- in the context of neural machine translation has found application in a wide range of tasks in natural language processing [2,and beyond. (berlin-machine-learning-seminar.org)
- Here's a diagram of an early, simple recurrent net proposed by Elman , where the BTSXPE at the bottom of the drawing represents the input example in the current moment, and CONTEXT UNIT represents the output of the previous moment. (skymind.ai)

###### algorithm

- A new neural network based optimization algorithm is proposed. (hindawi.com)

###### Model

- Thus, surprisingly, our simple neural model qualitatively recapitulates many diverse regularities underlying semantic development, while providing analytic insight into how the statistical structure of an environment can interact with nonlinear deep-learning dynamics to give rise to these regularities. (stanford.edu)
- The presented model is a discrete-time, continuous-state Hopfield neural network and the states of the model are updated synchronously. (hindawi.com)

###### feed-forward

- However, they can also be used to search for rules and rule sets, for data mining, for good feed-forward or recurrent neural nets and so on. (ed.ac.uk)

###### build

- If I build a recurrent neural net into the head of a robot, I will say that the robot computes responses to stimuli, irrespective of whether the neural net is a continuous system or a discrete system approximating a continuous system. (blogspot.com)
- To make our discussion concrete, we'll show how to build a neural network using Deeplearning4j, a popular open-source deep-learning library for the JVM. (infoq.com)

###### learn

- With the advent of big data to learn from and computers to perform computations, there has been renewed in Neural Nets. (sflscientific.com)

###### machine

- Neural machine translation by jointly learning to align and translate , Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. (berlin-machine-learning-seminar.org)

###### solve

- For this blog post, we give a heuristic description of what neural nets are and how they can be used to solve many of today's problems. (sflscientific.com)

###### perform

- Following a line is a well known problem in computer science, and there is no need for a neural network to perform such a task. (odsc.com)

###### state

- Further, Recurrent Neural Nets have some notion of state, being able to "remember" past sequences. (sflscientific.com)
- That sequential information is preserved in the recurrent network's hidden state, which manages to span many time steps as it cascades forward to affect the processing of each new example. (skymind.ai)

###### often

- However the Hopfield neural network (HNN) often gets trapped in a local minima. (hindawi.com)

###### activation function

- What is the role of the activation function in a neural network? (codingvideos.net)

###### full

- Notice that the full structure of the neural net has to be predefined, and it is the weights themselves that can be continuously/semi-continuously (in batches) updated. (sflscientific.com)
- Just as human memory circulates invisibly within a body, affecting our behavior without revealing its full shape, information circulates in the hidden states of recurrent nets. (skymind.ai)

###### structure

- After the neural network structure is decided, the weights are randomly initialised (note, these should never be initialised to the exact same value, since you'll get into trouble with the conserved symmetry). (sflscientific.com)

###### Next

- Seeing photograph of a cat will not lead the net to perceive an elephant next. (skymind.ai)

###### Journal

- Direction-of-change forecasting using a volatility-based recurrent neural network ," Journal of Forecasting , John Wiley & Sons, Ltd., vol. 27(5), pages 407-417. (repec.org)

###### human

- Neural Nets were originally inspired in the 1940s by the human central nervous system. (sflscientific.com)