CNN Development on PYNQ Z2 Board
Budget: $250 – $750 USD
I'm looking for an expert in CNN and FPGA development. The task is to build a Convolutional Neural Network on a PYNQ Z2 board using Vitis and Vivado's block diagram.
Key Requirements:
- The CNN will be processing low-resolution images (64x64).
- Familiarity and proficiency with the PyTorch library is a must, as this will be the preferred tool for building the CNN.
- Extensive experience with the Vitis and Vivado software is required.
- Knowledge of FPGA programming and hardware-software co-design is a big plus.
I need a professional who can deliver a high-quality CNN implementation on this specific hardware. Please include examples of similar projects you've completed in your bid.
Key Requirements:
- The CNN will be processing low-resolution images (64x64).
- Familiarity and proficiency with the PyTorch library is a must, as this will be the preferred tool for building the CNN.
- Extensive experience with the Vitis and Vivado software is required.
- Knowledge of FPGA programming and hardware-software co-design is a big plus.
I need a professional who can deliver a high-quality CNN implementation on this specific hardware. Please include examples of similar projects you've completed in your bid.