CDNN2 also supports fully convolutional networks, thereby allowing any given network to work with any input resolution. Pete Warden, lead of the TensorFlow Mobile/Embedded team at Google, commented: ...

Concluding this series on convolutional neural networks (CNNs), we explain the hardware conversion of a CNN and specifically the benefits of using an AI microcontroller with a hardware-based CNN ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...