# Reservoir Computing Project
Authors: *Bertrand Thia-Thiong-Fat, Yassine Kamri*
This repository presents the results of our work on the implementation of deep learning tasks on a FPAA (Field-Programmable Analog Array). We simulated a reservoir-computer based on the DC RASP3.0A FPAA platform of Georgia Tech Institute to validate various experiences - before reproducing them on the board in practice. The performances of our simulator on two deep learning tasks can be found here: the sine-wave generator and spoken digit recognition tasks.
# Directories and files
`ActivationFunction`: contains the datapoints and visualizations of the different activation functions the team produced using the analog board (with resistors, capacitors and op-amps).
`AuditoryToolbox`: Matlab module used to preprocess our data for the digit spoken recognition task.
`Example`: One simple example that can be run to observe our results on the digit spoken recognition task.
`preprocessing`: Code used to preprocess our data for the digit spoken recognition task using the cochlea technique.
`references-papers`: References and papers used during our work.
`report.pdf`: Report of our work.
`SinuxExpo`: Code used to test our reservoir-computer model on the sine-wave generator task.
`Spoken_Digit_Recognition`: Code used to assess our reservoir-computer model on the digit spoken recognition task. Folders containing the study of our model on different hyperparameters can be found - such as the performances with respect to the datasize, sparsity of the network, number of neurons, activation functions, etc.
# The data
We used the dataset **TI20** for the spoken digit recognition task.
# Quantitative results
Please refer to the report. It unravels our workflow, from problem definition to the results, limitations and future works. To observe the results obtained in a given folder, please download it and run the file `main.py`.
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matlab正弦函数程序代码-Reservoir-computing:在可重新编程的模拟硬件上实现Echo状态网络来模拟深度学习
共260个文件
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matlab正弦函数程序代码-Reservoir_computing:在可重新编程的模拟硬件上实现Echo状态网络来模拟深度学习.. matlab正弦函数程序代码水库计算项目 Thia-Thiong-Fat、Yassine Kamri 该存储库展示了我们在 FPAA(现场可编程模拟阵列)上实施深度学习任务的工作结果。 我们基于佐治亚理工学院的 DC RASP3.0A FPAA 平台模拟了一台水库计算机,以验证各种经验——然后在板上重现它们。 我们的模拟器在两个深度学习任务上的表现可以在这里找到:正弦波发生器和口语数字识别任务。 目录和文件 ActivationFunction :包含团队使用模拟板(带有电阻器、电容器和运算放大器)生成的不同激活函数的数据点和可视化。 AuditoryToolbox :Matlab 模块,用于为数字语音识别任务预处理我们的数据。 Example :可以运行一个简单的示例来观察我们在数字语音识别任务上的结果。 preprocessing :用于使用耳蜗技术对数字语音识别任务的数据进行preprocessing代码。 references-papers :我
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matlab正弦函数程序代码-Reservoir-computing:在可重新编程的模拟硬件上实现Echo状态网络来模拟深度学习 (260个子文件)
dtw.c 9KB
sosfilters.c 7KB
agc.c 7KB
soscascade.c 5KB
invsoscascade.c 5KB
csv_activation.csv 23.86MB
csv_activation.csv 23.86MB
csv_activation.csv 23.86MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 3.81MB
Reservoir_poidsInternes.csv 2.92MB
Reservoir_poidsInternes.csv 2.15MB
Reservoir_poidsInternes.csv 977KB
Reservoir_poidsEntree.csv 787KB
Reservoir_poidsEntree.csv 787KB
Reservoir_poidsEntree.csv 787KB
Reservoir_poidsEntree.csv 787KB
Reservoir_poidsEntree.csv 787KB
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Reservoir_poidsEntree.csv 787KB
Reservoir_poidsEntree.csv 688KB
Reservoir_poidsEntree.csv 590KB
Reservoir_poidsInternes.csv 549KB
Reservoir_poidsEntree.csv 393KB
Reservoir_poidsEntree.csv 295KB
Reservoir_poidsInternes.csv 244KB
Reservoir_poidsEntree.csv 197KB
Reservoir_poidsSortie.csv 120KB
Reservoir_poidsSortie.csv 119KB
Reservoir_poidsSortie.csv 119KB
Reservoir_poidsSortie.csv 119KB
Reservoir_poidsSortie.csv 119KB
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Reservoir_poidsSortie.csv 117KB
Reservoir_poidsSortie.csv 107KB
Reservoir_poidsEntree.csv 98KB
Reservoir_poidsSortie.csv 94KB
Reservoir_poidsSortie.csv 69KB
Reservoir_poidsInternes.csv 61KB
Reservoir_poidsSortie.csv 57KB
Reservoir_poidsSortie.csv 45KB
csv_activation_CorJo.csv 40KB
csv_activation_CorJo.csv 40KB
Reservoir_poidsEntree.csv 39KB
Reservoir_poidsSortie.csv 32KB
Reservoir_poidsSortie.csv 25KB
csv_activation_BenHug.csv 15KB
csv_activation_BenHug.csv 15KB
Reservoir_poidsInternes.csv 10KB
soscascade.dll 40KB
inverseagc.dll 40KB
invsoscascade.dll 40KB
sosfilters.dll 40KB
agc.dll 40KB
notes.docx 1.12MB
.DS_Store 8KB
.DS_Store 6KB
test_auditory.m 9KB
SeneffEarSetup.m 8KB
mfcc.m 6KB
proclpc.m 6KB
synlpc.m 5KB
MakeERBFilters.m 5KB
MakeVowel.m 4KB
DesignLyonFilters.m 4KB
SeneffEar.m 3KB
WhiteVowel.m 3KB
contents.m 2KB
LyonPassiveEar.m 2KB
MeddisHairCell.m 2KB
ERBFilterBank.m 2KB
spectrogram.m 2KB
CorrelogramPitch.m 2KB
CorrelogramFrame.m 2KB
rasta.m 2KB
ERBSpace.m 1KB
FMPoints.m 1KB
CorrelogramArray.m 975B
Makefile.m 877B
CorrelogramMovie.m 864B
preprocessing.m 772B
preprocessing.m 477B
SecondOrderFilter.m 401B
FreqResp.m 358B
SetGain.m 316B
EpsilonFromTauFS.m 218B
Makefile 588B
zero.mat 47KB
six.mat 44KB
five.mat 41KB
README.md 2KB
inverseagc.mexmaci64 13KB
sosfilters.mexmaci64 9KB
agc.mexmaci64 9KB
soscascade.mexmaci64 9KB
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