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batchnorm

Here are 16 public repositories matching this topic...

zhanghang1989 / PyTorch-Encoding

A CV toolkit for my papers.

deep-learning batchnorm synchronized-batchnorm encoding-layer

Updated Sep 11, 2026
Python

hongyi-zhang / Fixup

A Re-implementation of Fixed-update Initialization

resnet fixup batchnorm

Updated Jun 9, 2019
Python

StacyYang / MXNet-Gluon-SyncBN

MXNet Gluon Synchronized Batch Normalization Preview

mxnet gluon batchnorm

Updated Jul 16, 2018
Python

jack-willturner / batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

deep-learning lasso sgd pruning batchnorm

Updated Nov 14, 2018
Python

xternalz / SDPoint

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

Updated Nov 5, 2019
Python

vsooda / mxnet_merge_bn

remove batchnorm when deploy mxnet model

mxnet remove batchnorm

Updated Dec 18, 2017
Python

mindee / Problem-of-BatchNorm

Playground repository to highlight the problem of BatchNorm layers for an blog article

learning model tricks deep batch-normalization normalization batchnorm

Updated Mar 9, 2022
Python

345ishaan / Digit-Classification-using-Numpy

MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy

neural-network numpy mnist-classification digit-recognition backpropagation-algorithm batchnorm trained mnist-handwriting-recognition onlynumpy

Updated Jan 31, 2018
Python

raja-kumar / folding-batchnorm

Code to fold batch norm layer of a DNN model in pytorch

deep-neural-networks batchnorm mobilenetv2 batchnormalization

Updated Mar 8, 2021
Python

arkanivasarkar / Deep-Learning-from-Scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

deep-learning neural-network numpy optimizer cnn dropout rnn feedforward-neural-network pooling batchnorm university-assignment oops-in-python cross-entropy-loss activation-functions neural-networks-from-scratch

Updated Oct 27, 2024
Python

Longqi-S / Conv_BatchNorm_Fusion

fuse batch normalization layer and con layer in CNN

fusion batchnorm

Updated Mar 3, 2018
Python

code-cse / DL-using-Numpy

This repository contains different implementation of deep learning model using Numpy.

deep-learning numpy cnn neural-networks batchnorm

Updated Jun 5, 2019
Python

kobiso / FilterResponseNorm-MXNet

MXNet implementation of Filter Response Normalization Layer (FRN) published in CVPR2020

normalization batchnorm frn groupnorm tlu

Updated Jul 3, 2020
Python

dansolombrino / Biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

deep-neural-networks deep-learning cnn resnet convolutional-neural-networks cnns batchnorm resnets

Updated May 12, 2023
Python

ruqoyyasadiq / deep_learning-MLP-networks

As part of a bigger work, this work focuses on implementing MLPs and Batch Normalization with Numpy and Python only.

deep-neural-networks deep-learning batchnorm mlp-networks batchnormalization

Updated Oct 4, 2021
Python

tairtahar / batchnorm

Batch normalization from scratch on LeNet using tensorflow.keras on mnist dataset. The goal is to learn and characterize batch normalization's impact on the NN performance.

machine-learning deep-learning neural-network tensorflow keras lenet-architecture batchnorm lenet-5 batchnormalization

Updated Nov 14, 2022
Python

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