Risk Minimization Algorithms in Structured Prediction (JMLR 2016)

Accompanying demos for my TCES talk on loss function engineering

AIND Jupyter Notebook to predict student admissions using Keras Neural Networks

Standalone application for plotting charts with different training statistics in a browser.

A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

Projects of Machine Learning and DataMining - course followed at Université de Technologie de Compiegne (UTC) France.

Drone using Fully Convolutional Network

IOU as loss for object detection tasks and IOU as metric for object detection tasks

Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

The Deep Learning exercises provided in DataCamp

A Neural Network Implementation in Java

常用的loss函数实现,以及图形化的曲线分布

A simple yet effective loss function for face verification.

A loss function for categories with a hierarchical structure.

Tensorflow NCE loss in Keras

Exploring the discriminating power of different loss functions for classification

Weighted Focal Loss for multilabel classification