MNIST Draw - Machine Learning model

Machine Learning model

For more information about how the web application translates the digit drawn into an image file processed by Arm NN, refer to the python script at cgi-bin/mnist.py.

A convolutional neural network (CNN) is defined within the model/ directory, and is used by the program in armnn-draw/ which incorporates the Arm NN SDK. This model is configured for MNIST data inputs. The default model is optimized_mnist_tf.pb.

Using this model, let’s try something that includes more than one image. In this example application, we will use a larger set of MNIST images, and show inference on both the CPUs and the GPU.

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