Reduce RAM Usage for AlexNet implementation on FPGA
There are no FPGAs with 10 GB of RAM built-in, but many of them will let you connect that much RAM externally.
I am working on an intelligent embedded system that implemented with an alexnet (kind of shallow cnn) while training my model on colab, I realized that RAM usage is about 10 GB. Does FPGA Support this? How can I reduce RAM usage?
Thanks