A Design on Multilayer Perceptron (MLP) Neural Network for Digit Recognition

[1]  Meng Zhang,et al.  Recent Advances in Convolutional Neural Network Acceleration , 2018, Neurocomputing.

[2]  Hui Wang,et al.  Deep Convolutional Neural Network for Facial Expression Recognition Using Facial Parts , 2017, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

[3]  Xiaokun Yang,et al.  Prototyping An Autonomous Eye-Controlled System (AECS) using Raspberry-Pi on Wheelchairs , 2017 .

[4]  Yue Lu,et al.  Handwritten Digit String Recognition by Combination of Residual Network and RNN-CTC , 2017, ICONIP.

[5]  Nan Chen,et al.  Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST) , 2018, ArXiv.

[6]  Marc'Aurelio Ranzato,et al.  Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Lei Wu,et al.  An FPGA Synthesis of Face Detection Algorithm using HAAR Classifier , 2018, ICACS '18.

[8]  Jean Andrian,et al.  A Case Study On Approximate FPGA Design With an Open-Source Image Processing Platform , 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

[9]  Jun Wang,et al.  Acceleration of FPGA Based Convolutional Neural Network for Human Activity Classification Using Millimeter-Wave Radar , 2019, IEEE Access.

[10]  Rahul Chauhan,et al.  Recognition of Handwritten Digits Using DNN, CNN, and RNN , 2018 .

[11]  Lei Wu,et al.  Dual Long Short-Term Memory Networks for Sub-Character Representation Learning , 2017, ArXiv.

[12]  Jürgen Schmidhuber,et al.  Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks , 2008, NIPS.

[13]  S C Kleene,et al.  Representation of Events in Nerve Nets and Finite Automata , 1951 .

[14]  Lei Wu,et al.  Exploring Slice-Energy Saving on an Video Processing FPGA Platform with Approximate Computing , 2018, ICACS '18.

[15]  S. Linnainmaa.  Taylor expansion of the accumulated rounding error , 1976 .

[16]  Mohammed Ismail,et al.  Analog VLSI Implementation of Neural Systems , 2011, The Kluwer International Series in Engineering and Computer Science.

[17]  Archit Gajjar,et al.  Real-Time Automatic Music Transcription (AMT) with Zync FPGA , 2019, 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

[18]  Min Chen,et al.  An adaptive deep Q-learning strategy for handwritten digit recognition , 2018, Neural Networks.

[19]  Lei Wu,et al.  A Scalable Image/Video Processing Platform with Open Source Design and Verification Environment , 2019, 20th International Symposium on Quality Electronic Design (ISQED).

[20]  xiaodi Fu,et al.  Intelligent In-Vehicle Safety and Security Monitoring System with Face Recognition , 2019, 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).

[21]  Xiaoqian Zhang,et al.  Compute-Efficient Neural-Network Acceleration , 2019, FPGA.

[22]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.