Neural Network Archives

Deep Neural Network Inference on FPGA using TensorFlow

Research project about Xilinx's Vitis-AI framework. Xilinx developed a unique and special ecosystem with dedicated software and hardware for accelerating deep neural networks and artificial intelligence applications. Our goal was to evaluate and validate this platform for future use.

Tags: ai | fpga | Neural Network | xilinx

Glaucoma classifier neural network on FPGA

Glaucoma is a chronic eye disease which causes progressive damage to the optic nerve and leads to blindness if not treated. This work demonstrates that an automated AI system can accurately and remotely diagnose glaucoma from fundus images of the retina of the eye. The project is comprised of two main parts. In the first part, raw digital fundus images undergo pre-processing to prepare them for analysis. In the second...

Tags: ai | fpga | glaucoma | Neural Network

Neuron Cell Implementation on FPGA

Hardware implementation of an artificial neural network on a Xilinx FPGA, to support advanced parallel calculations performed by dedicated software.

Categories: Algorithms implementation

Tags: fpga | Neural Network | Neuron | xilinx | zedboard

Neural Network Implementation in Hardware (fixed point)

This project offers an accelerator for neural network computations. Instead of performing the calculations in software using GPU, we implement a set of neurons that can perform the same calculations faster and concurrently in hardware on FPGA.

Categories: Algorithms implementation

Tags: fpga | Neural Network | xilinx | zedboard

Generic neural network software on FPGA

One of the main approaches to problem solving in computer vision is neural networks. Implementation of such networks on a computer or GPU system requires high computational power and hence high power, long computation time and expensive cost. This project is the software part of 3 teams: software, hardware and algorithm. The 3 projects goal is to create a system that implement the LeNet 5 model using FPGA instead of...

Categories: Embedded Systems

Tags: ai | Neural Network

Deep Neural Network Simulator

This project suggests a hardware design for accelerating DNN (Deep Neural Networks) inference. This design is based on a new approach for a specialized architecture, in which memory units and computation units packed together to form basic block called a Tile.

Tags: Neural Network | zc706

Implementation of Convolutional Neural Network for Handwritten digits recognition On FPGA

Neural Network is a Machine Learning System designed for supervised learning using examples. Such network can be used for handwritten digit recognition, and when used in software is in-efficient in both time and resources. This project is the third part of a 3-parts project. Our goal is to implement an efficient hardware solution to the handwritten digit recognition problem. Implementing dedicated HW to this task is part of a new...