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3
AutoDevKit ecosystem
3.1
SPC5-STUDIO-AI plugin
The LSTM AI-car sensing node network implemented with the TensorFlow framework inside the Google Colab
environment is then converted in a C library compliant with SPC5-STUDIO.
On the Google Colab notebook, the LSTM AI-car sensing node network architecture is saved as an *.h5 file. This
file is then fed into
model.save('model_car_sts.h5')
SPC5-STUDIO-AI
pretrained neural network into an efficient "ANSI C" library to be compiled, installed, and executed on SPC58
microcontrollers.
You can easily import pretrained neural networks in the
learning frameworks, such as Keras, TensorFlow Lite, Lasagne, Caffe, ConvNetJS, and ONNX.
SPC5-STUDIO-AI
converted neural network and measure key metrics such as validation error, memory requirements (flash memory
and RAM), and execution time.
This plugin is integrated within the
To install the SPC5-STUDIO-AI, follow the procedure below.
Step 1.
Select [Install new software] from [Help].
UM3053 - Rev 1
SPC5-STUDIO-AI
to obtain a fast and optimized version of the RNN.
is the artificial intelligence plug-in for
provides validation and performance analysis features to validate and characterize the
SPC5-STUDIO
Figure 12.
SPC5-STUDIO
able to generate automatically a
SPC5-STUDIO-AI
from the most widely used deep
(version 6.0.0 or higher) development environment.
Installing the plugin
UM3053
AutoDevKit ecosystem
page 14/39
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