Why use FPGAs for AI?
In our latest video we explain why there is so much excitement around using FPGAs for AI. https://youtu.be/l9vrt5SNYds Transcript: FPGAs have been around for decades but there has been renewed…
In our latest video we explain why there is so much excitement around using FPGAs for AI. https://youtu.be/l9vrt5SNYds Transcript: FPGAs have been around for decades but there has been renewed…
For our introduction to neural networks on FPGAs, we used a variation on the MNIST dataset made for sign language recognition. It keeps the same 28x28 greyscale image style used…
Part 8: Compiling our CNN We now have our complete model and must make it ready to be run on the FPGA. To do this, we must compile our model…
Part 7: Quantising our graph In our previous tutorial we produced our frozen model so now we can optimise it to make it run on our FPGA hardware efficiently, which…
Part 6: Converting and Freezing our CNN Now we have built a more optimal CNN by handling both under-fitting and over-fitting, we can begin the process of deploying our model…
Part 5: Optimising our CNN In our previous section, we both trained our network on a training set and tested it on a testing set and our accuracy on the…