Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
IEEE

Multiplication-Free Lookup-Based CNN Accelerator Using Residual Vector Quantization and Its FPGA Implementation

Abstract: In this paper, a table lookup-based computing technique is proposed to perform convolutional neural network (CNN) inference without multiplication, and its FPGA implementation is ...
IEEE

Implementation of FPGA-based Neural Network Controller for Reducing Speed Ripple for a PMSM-driven EV using MRAS Speed Estimator

Abstract: The conventional model reference adaptive system (MRAS) employs a proportional-integral (PI) controller with a low-pass filter (LPF). However, the LPF and integrator add phase delay and DC ...
GitHub

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

@misc{GANESH2024KANGPT, author = {Aditya Nalgunda Ganesh}, title = {KAN-GPT: The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov ...