# Embedded-ML **Repository Path**: SummerGift/Embedded-ML ## Basic Information - **Project Name**: Embedded-ML - **Description**: Machine Learning on Embedded Platform. - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-12-28 - **Last Updated**: 2020-12-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Machine Learning on Embedded Platform ## Outline - [week1 CV Basic Ⅰ](week1) - crop, color shift, gamma, rotation, affine transform, perspective transform - [week2 CV Basic Ⅱ](week2) - convolution, filtering, Harris Corner, SIFT and HOG - [optional] - [Bilateral Filter](https://blog.csdn.net/piaoxuezhong/article/details/78302920) - Feature Descriptors: [Compulsory] - [Hog](https://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf ) - [SURF](https://www.vision.ee.ethz.ch/~surf/eccv06.pdf ) - [optional] - [BRISK](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.371.1343&rep=rep1&type=pdf) - [Orb](http://www.willowgarage.com/sites/default/files/orb_final.pdf): [SLAM] - K-Means - [week3 Classic Machine Learning Ⅰ](week3) - Linear regression - Logistic Regression / Classification - L2 Loss - Sigmoid Function - Cross Entropy / Multi-Label - [week4 Classic Machine Learning Ⅱ](week4) - Neural Network - BP / Cost Function / Hypothesis - L1 / L2 Regularization - Overfit / Zigzag - [week5 Classic Machine Learning Ⅲ](week5) - Gradient Vanishing / Explosion - SVM / Kernel / Derivation - Normal Equation - [week6 CNN Ⅰ](week6) - Conv: Conv, Dilated Conv, Transposed Conv, C3d(Deformable Conv) - ReLU: ReLU, Leaky-ReLU, PReLU, ELU(SeLU) - Pooling: Max Pooling, Axe Pooling - FC - Dropout - Batch Normalization(Group/Layer/Instance Norm) - [week7 CNN Ⅱ](week7) - Net Framework - FLOPs ## Project - [project1 Object Detection](project_one_object_detection) - SIFT, SURF - FLANN - KNN - RANSAC