Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Efficient VLSI Implementation of Neural Networks With Hyperbolic Tangent Activation Function
Efficient hardware implementation of the hyperbolic tangent sigmoid function
A novel activation function for multilayer feed-forward neural networks
Direct Neural-Network Hardware-Implementation Algorithm
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks
A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms
FPGA IMPLEMENTATIONS OF NEURAL NETWORKS
A Survey of FPGA-Based Hardware Implementation of ANNs
Implementation of Back Propagation Algorithm ( of neural networks ) in VHDL
Complex-Valued Neural Networks With Nonparametric Activation Functions
Efficient Hardware Architecture of Softmax Layer in Deep Neural Network
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Implementing Neural Networks Efficiently
On the Computational Efficiency of Training Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Multi-Bias Non-linear Activation in Deep Neural Networks
FPGA Implementations of Neural Networks-a Survey of a Decade of Progress
Implementation of Efficient Multilayer Perceptron ANN Neurons on Field Programmable Gate Array Chip
Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks
Kafnets: kernel-based non-parametric activation functions for neural networks
Significance of Clustering Coefficient over Jaccard Index
BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Long-Term Follow-Up of Adults with Gender Identity Disorder
The TangibleK Robotics Program: Applied Computational Thinking for Young Children.
Neural Networks A Comprehensive Foundation