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- EON Tuner
Time series data, Spectral Analysis (initial classifier), Classification (Keras) #4 (final NN)
Time series data, Spectral Analysis (initial classifier), Classification (Keras) #4 (final NN) Time series data, Spectral Analysis (initial classifier), Classification (Keras) #1 (initial nn) Time series data, Spectral Analysis (initial classifier), Classification (Keras) #2 (10/5) Time series data, Spectral Analysis (initial classifier), Classification (Keras) #3 (faster learning)

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Deb / wio-shake-lift Public

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Target: Cortex-M4F 80MHz Clone this project

Experiments EON Tuner

The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

No name set

Cortex-M4F 80MHz

100 ms

128 kB

1024 kB

Filters

Status

Pending 0

Running 0

Completed 50

Failed 0

DSP type

Spectral analysis 50

Model type

Dense 50

View

Data set

Validation

Test

Variant

Sort

General

Accuracy

Latency

RAM

ROM

Last updated

F1-score

Precision

Recall

90%

dense-bb0

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

20 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:24:05 PM

90%

dense-886

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

18 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:23:44 PM

90%

dense-e3a

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

20 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:22:46 PM

90%

dense-d01

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

18 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:23:49 PM

90%

dense-9a7

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

20 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:24:07 PM

90%

dense-923

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

23 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:24:23 PM

90%

dense-1b7

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

19 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:25:14 PM

90%

dense-89b

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

23 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:26:55 PM

90%

dense-b16

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

18 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:27:10 PM

90%

dense-bfe

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

19 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:27:51 PM

90%

dense-181

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

25 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:28:37 PM

90%

dense-2e3

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

23 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:29:14 PM

90%

dense-b9a

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

20 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:29:37 PM

90%

dense-aa2

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

22 kB of 128 kB

ROM

23 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:30:55 PM

90%

dense-e26

PERFORMANCE

LATENCY

2 ms of 100 ms

RAM

6 kB of 128 kB

ROM

25 kB of 1024 kB

DSP NN Unused

TIME-SERIES INPUT

Enabled

9/30/2021, 7:31:25 PM

Training output

Hide

Click 'Run EON Tuner' to begin

Configure a new EON Tuner run

The EON Tuner uses a Bayesian search algorithm to find optimal impulse configurations. To get started, select at least one run objective and configure your search space.

Name

Compute limit

Run objectives

Search space configuration

USE CASE

Continuous motion | Classification Continuous motion | Classification & anomaly Motion events | Classification

IMPULSE CONFIGURATION

Time series data, Spectral Analysis (initial classifier), Classification (Keras) #4 (final NN)Time series data, Spectral Analysis (initial classifier), Classification (Keras) #1 (initial nn)Time series data, Spectral Analysis (initial classifier), Classification (Keras) #2 (10/5)Time series data, Spectral Analysis (initial classifier), Classification (Keras) #3 (faster learning)

INPUT

Time-series
Pre-processed features

DSP

Raw
Spectral analysis
IMU (Syntiant)

LEARN

Dense
Convolutional (1D)

ANOMALY

Anomaly (k-means)
Anomaly (GMM)

ORGANIZATION (DSP)

Add custom DSP block
Add custom ML block

Use a template or add blocks to define parameters to start your tuner search

Do more with EON Tuner

Access more parallel EON Tuner jobs for faster results, a fully customizable search space, and more model variant options.

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Configure your target device and application budget

Target device

Define your target device requirements to inform model optimizations and performance calculations. No device yet? Use the default settings which you can change at any time.

Target device

Processor type

Processor family

Processor architecture

Clock rate

| MHz

Max

Accelerator

Device ID (optional)

Custom device name (optional)

Application budget

Specify the available RAM and ROM for the model's operation, along with the maximum allowed latency for your specific application. Not sure yet? Start with the defaults and modify them later on.

RAM

| KB

Max

ROM

| KB

Max

Latency

| ms

Max

Choose your pricing

YEARLY

$400 /month

billed annually

SAVE 15%

MONTHLY

$475 /month

billed monthly

Additional usage

Professional Plan includes 1,000 compute minutes per month. Additional usage will be charged at $0.10 per minute, billed monthly.

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