My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
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Updated
Jun 6, 2018 - C++
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
Hand gesture interface for Desktop PC and Raspberry Pi.
Implementation of LeNet-5 with keras
Deep learning model implementation from scratch using pytorch
A library of VHDL components for Neural Networks
In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)
Image classification models on CIFAR10 dataset using pytorch
Pure numpy implementation of LeNet5, to help you understand how CNN works.
CNN-based image retrieval with TensorFlow and Keras
PyTorch implementation of LeNet5
Camera based ROS line follower node
Centralized Federated Learning using WebSockets and TensorFlow
Pre-trained 3D CNNs
LeNet-5 Convolution Neural Network built primarily using NumPy and applied on the MNIST Handwritten Digit Dataset
A simple neural network library in C++
HandwrittenDigitRecognition、FlowerRecognition、LotteryOnline and ChatInWeb based on Tornado and Tensorflow
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