Accelerating Feedforward Computation via Parallel Nonlinear Equation SolvingYang SongChenlin MengRenjie LiaoStefano ErmonPMLRInternational Conference on Machine Learning
The temporal rules used for processing precise spiking patterns have recently emerged as ways of emulating the brain's computation from its anatomy and physiology. Most of these rules could be used for recognizing different spatiotemporal patterns. However, there arises the question of whether these ...
This paper expands on the idea of conditional computation introduced by Bengio, et. al., where the nodes of a deep network are augmented by a set of gating units that determine when a node should be calculated. By factorizing the weight matrix into a low-rank approximation, an estimation ...
For this computation, each alternative is represented by the response of a distinct neural population with a predetermined size. We varied the population size between 1 and 250. In this study, the search task contains six alternatives, thus we estimated a population response for each of the six...
Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes Engineering Journal 2020,Engineering ZhaofeiYu, ...TiejunHuang 3.1Feedforward network Thefeedforwardnetwork is the most classical view of the direction of visual information flow in the retina, as shown inFigs. 2(a...
computation, each alternative is represented by the response of a distinct neural population with a predetermined size. We varied the population size between 1 and 250. In this study, the search task contains six alternatives, thus we estimated a population response for each of the six stimuli....
Let us go through an example of a ReLU hidden-layer computation. We are given the output of the previous hidden layer hn- 1, the weight matrix W, and the bias matrix b. We first need to evaluate the affine transformation. Remember, the weight matrix is transposed in the computation. Let...
Initially, we used neural networks for simple classification problems, but thanks to an increase in computation power, there are now more powerful architectures that can solve more complex problems. One of these is called a feedforward neural network....
Consists of computation units called neurons 由称为神经元的计算单元组成 1.2 Feed-forward NN Aka multilayer perceptrons 又名多层感知器 Each arrow carries a weight, reflecting its importance 每个箭头都有一个权重,反映其重要性 Certain layers have nonlinear activation functions 某些层有非线性激活函数 ...
As seen in the flow diagram of FIG. 4, the P/S FEEDFORWARD CONTROL routine comprises three main steps: ENABLE LOGIC as indicated by the block 112, FEEDFORWARD COMPUTATION as indicated by the blocks 114-116, and PULSE DELIVERY CONTROL as indicated by the block 118. ...