suburaaj / Fpga-Implementation-of-Precise-Convolutional-Neural-Network-for-Extreme-Learning-MachineLinks
Feed-forward neural networks can be trained based on a gradient-descent based backpropagation algorithm. But, these algorithms require more computation time. Extreme Learning Machines (ELM’s) are time-efficient, and they are less complicated than the conventional gradient-based algorithm. In previous years, an SRAM based convolutional neural net…
☆12Updated 5 years ago
Alternatives and similar repositories for Fpga-Implementation-of-Precise-Convolutional-Neural-Network-for-Extreme-Learning-Machine
Users that are interested in Fpga-Implementation-of-Precise-Convolutional-Neural-Network-for-Extreme-Learning-Machine are comparing it to the libraries listed below
Sorting:
- EE 272B - VLSI Design Project☆13Updated 4 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆39Updated 6 years ago
- CNN-Accelerator based on FPGA developed by verilog HDL.☆48Updated 5 years ago
- The project includes SRAM In Memory Computing Accelerator with updates in design/circuits submitted previously in MPW7, by IITD researche…☆16Updated 3 years ago
- Fully Hardware-Based Stochastic Neural Network☆22Updated last year
- CNN Accelerator in Frequency Domain☆12Updated 5 years ago
- ☆14Updated 2 years ago
- FPGA implement of 8x8 weight stationary systolic array DNN accelerator☆16Updated 4 years ago
- ☆26Updated 3 years ago
- CNN hardware accelerator to accelerate quantized LeNet-5 model☆42Updated 2 years ago
- This project implements a convolution kernel based on vivado HLS on zcu104☆36Updated 5 years ago
- Efficient FPGA-Based Accelerator for Convolutional Neural Networks☆39Updated last year
- A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA☆28Updated 4 years ago
- SystemVerilog files for lab project on a DNN hardware accelerator☆18Updated 4 years ago
- Hand Writing Digital Recognization Based on FPGA, we desiged a SoC embeded a Cortex M3 core and other peripherals，this SoC run a CNN. The…☆13Updated 2 years ago
- A CNN accelerator design inspired by MIT Eyeriss project☆20Updated 4 years ago
- This project is to design yolo AI accelerator in verilog HDL.☆30Updated last year
- Arrhythmia Detection Using Algorithm and Hardware Co-design for Neural Network Inference Accelerators☆16Updated 2 years ago
- Hardware accelerator for convolutional neural networks☆63Updated 3 years ago
- Designing CNN accelerator using a Xilinx FPGA board and comparing performance with CPU.☆21Updated 4 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆64Updated 4 years ago
- CNN-Accelerator based on FPGA developed by verilog HDL.☆11Updated 4 years ago
- [FPGA-2022] N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores☆11Updated 4 years ago
- An HLS based winograd systolic CNN accelerator☆54Updated 4 years ago
- This is the first step to implement RNN on FPGAs. All modules are heavily commented. We will use High-Level Synthesis to turn these code …☆24Updated 6 years ago
- tpu-systolic-array-weight-stationary☆25Updated 4 years ago
- Systolic array based simple TPU for CNN on PYNQ-Z2☆41Updated 3 years ago
- A linear array of PEs with RISC-V ISA targeting extreme high frequency on Xilinx ZYNQ Ultrascale+, specificially for applications such as…☆13Updated last year
- 3×3脉动阵列乘法器☆50Updated 6 years ago
- ☆16Updated 3 years ago