batch-normalization topic
pytorch_bn_fusion
Batch normalization fusion for PyTorch
Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
math_object_detection
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Feed-Forward-Style-Transfer
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
mnist-bn
Using slim to perform batch normalization
Neural-Style-MMD
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
Keras_AttentiveNormalization
Unofficial Keras implementation of the paper Attentive Normalization.
GAN
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.
Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
Short description for quick search
BNN_NoBN
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang