This article demonstrates how we can implement a Deep Learning model using PyTorch with TPU to accelerate the training process. Here, we define a Convolutional Neural Network (CNN) model using PyTorch ...

The objective of this project is to demonstrate the step-by-step implementation of a Convolutional Neural Network (CNN) from scratch to classify images of hand-written digits (0-9), using the MNIST ...

However, implementing the inference process of CNNs on FPGAs requires great effort and expertise. Therefore, ... conversion tool takes the Python algorithms of the forward path of the CNN as input and ...