My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
-
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
A library of VHDL components for Neural Networks
Deep learning model implementation from scratch using pytorch
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
Convolutional Neural Networks repository for all projects of Course 4 of 5 of the Deep Learning Specialization covering CNNs and classical architectures like LeNet-5, AlexNet, GoogleNet Inception Network, VGG-16, ResNet, 1x1 Convos, OverFeat, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, YOLO9000, DeepFace, FaceNet and Neural Style Transfer.
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
Add a description, image, and links to the lenet-5 topic page so that developers can more easily learn about it.
To associate your repository with the lenet-5 topic, visit your repo's landing page and select "manage topics."