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9 search results found

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

Cnn_for_slr ⭐ 79

A trained Convolutional Neural Network implemented on ZedBoard Zynq-7000 FPGA.

Deep Learning Accelerator (Convolution Neural Networks)

Multiply-Accumulate and Rectified-Linear Accelerator for Neural Networks

Cnn_hardware_acclerator_for_fpga ⭐ 32

This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs

Deepsocflow ⭐ 28

An Open Workflow to Build Custom SoCs and run Deep Models at the Edge

Verilog Convolutional Neural Network on PYNQ

Tiny Tpu ⭐ 14

Small-scale Tensor Processing Unit built on an FPGA

Neuralhdl ⭐ 13

Brilliantly Radical Artificially Intelligent Neural Machine

Binarydnn ⭐ 6

Chisel Modules for binarized deep neural nets

Convolutional Neural Network Hardware Using Verilog ⭐ 5

A project on hardware design for convolutional neural network. This neural network is of 2 layers with 400 inputs in the first layer. This layer takes input from a memory. A MATLAB script was created to get the floating point inputs and convert it to 7 bit signed binary output. This was done for inputs as well as the weights in these two layers. Sigmoid case statement was also implemented in verilog to get the sigmoid values for intermediate outputs in a layer. This design was simulated and synt

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