batch-normalization topic

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

hwalsuklee

Interesting python codes to tackle simple machine/deep learning tasks

26hzhang

Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

bobye

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

xternalz

Win probability predictions for League of Legends matches using neural networks

minihat

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

tayebiarasteh

Classifying audio using Wavelet transform and deep learning

AdityaDutt

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

AdalbertoCq

[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang

VITA-Group

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

sayakpaul