For our introduction to neural networks on FPGAs, we used a variation
Introduction In our previous tutorial series, we looked at sign language recognition
Part 9: Running our code on the DPU We now have our
Part 8: Compiling our CNN We now have our complete model and
Part 7: Quantising our graph In our previous tutorial we produced our
Part 6: Converting and Freezing our CNN Now we have built a
Part 5: Optimising our CNN In our previous section, we both trained
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