Projects in Awesome Lists tagged with batch-normalization

https://github.com/morvanzhou/pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 14 May 2025

https://github.com/MorvanZhou/PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 15 Mar 2025

https://github.com/parasdahal/deepnet

Educational deep learning library in plain Numpy.

adagrad adam-optimizer batch-normalization cnn dropout nesterov-accelerated-sgd

Last synced: 19 Jul 2025

https://github.com/hwalsuklee/tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

batch-normalization cnn data-augmentation dropout ensemble-prediction mnist mnist-classification tensorflow

Last synced: 12 May 2025

https://github.com/MIPT-Oulu/pytorch_bn_fusion

Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.

batch-normalization deep-learning deep-neural-networks inference-optimization pytorch

Last synced: 17 Aug 2025

https://github.com/lyttonhao/Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

batch-normalization maximum-mean-discrepancy neural-style

Last synced: 17 Apr 2025

https://github.com/stevenobadja/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.

batch-normalization coco detection detection-model linear-algebra math-operation object-detection python python3 relu ssd-mobilenet tensorflow tensorflow-examples tensorflow-experiments tensorflow-models tensorflow-tutorials

Last synced: 23 Oct 2025

https://github.com/hwalsuklee/tensorflow-mnist-mlp-batch_normalization-weight_initializers

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

batch-normalization he he-initializer mnist mnist-classification tensorflow weight-initializers xavier xavier-initializer

Last synced: 13 Apr 2025

https://github.com/vita-group/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

adaptive-gradient-clipping batch-normalization binary-neural-networks normalization-free-training normalizer-free weight-standardization

Last synced: 19 Apr 2025

https://github.com/vita-group/sandwich-batch-normalization

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

adversarial-training batch-normalization gan nas neural-architecture-search normalization pytorch sabn sandwich-batch-normalization style-transfer

Last synced: 31 Jul 2025

https://github.com/26hzhang/amusingpythoncodes

Interesting python codes to tackle simple machine/deep learning tasks

batch-normalization cnn data-analysis dynamic-memory-network highway-network knowledge-representation lstm maxout python r-net selu seq2seq

Last synced: 19 Apr 2025

https://github.com/26hzhang/AmusingPythonCodes

Interesting python codes to tackle simple machine/deep learning tasks

batch-normalization cnn data-analysis dynamic-memory-network highway-network knowledge-representation lstm maxout python r-net selu seq2seq

Last synced: 22 Jul 2025

https://github.com/sayakpaul/training-batchnorm-and-only-batchnorm

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

batch-normalization deep-learning keras tensorflow2

Last synced: 05 May 2025

https://github.com/Cyril9227/Keras_AttentiveNormalization

Unofficial Keras implementation of the paper Attentive Normalization.

attention-mechanism batch-normalization deep-learning keras keras-tensorflow

Last synced: 11 May 2025

https://github.com/apple/ml-tune-mode-convbn

Tune-Mode ConvBN Blocks For Efficient Transfer Learning

batch-normalization convolutional-neural-networks efficiency pytorch-fx transfer-learning

Last synced: 19 Oct 2025

https://github.com/eigenfoo/batch-renorm

A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.

batch-norm batch-normalization batch-renorm batch-renormalization deep-learning sergey-ioffe tensorflow

Last synced: 12 Apr 2025

https://github.com/karoly-hars/GAN_image_colorizing

Image colorization with generative adversarial networks on the CIFAR10 dataset.

artificial-intelligence batch-normalization cifar10 computer-vision deep-learning gan generative-adversarial-network image-colorization neural-networks pytorch spectral-normalization unet

Last synced: 07 May 2025

https://github.com/arjuntheprogrammer/theschoolofai

Projects for The School of AI

alphazero autoencoders batch-normalization data-augmentation densenet enas face-recognition gan inception-network lstm-and-gru neural-architecture policy-gradients regularization rnn siamese-network superconvergence transfer-learning yolo

Last synced: 09 Oct 2025

https://github.com/philipperemy/keras-mode-normalization

Keras Implementation of Mode Normalization (Lucas Deecke, Iain Murray, Hakan Bilen, 2018)

batch-normalization keras tensorflow

Last synced: 13 Oct 2025

https://github.com/mindee/problem-of-batchnorm

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

batch-normalization batchnorm deep learning model normalization tricks

Last synced: 15 Oct 2025

https://github.com/angusg/bn-advex-zhang-fixup

Code for ResNet-Fixup experiments as part of "Batch Norm is a Cause of Adversarial Vulnerability" presented at http://deep-phenomena.org/

batch-normalization

Last synced: 30 Oct 2025

https://github.com/shervinnd/cifar-10-image-classification-with-cnn

Description: Dive into this exciting project that builds a CNN with TensorFlow/Keras to classify CIFAR-10 images into 10 vibrant classes! 📸 It features data preprocessing, model training, stunning ROC curve visualizations 📊, sample predictions, and custom image classification

auc-analysis batch-normalization cifar-10 cnn-model computer-vision convolutional-neural-networks custom-image-prediction deep-learning image-classification image-preprocessing keras machine-learning matplotlib-visualization numpy opencv python roc-curve scikit-learn softmax-classifier tensorflow

Last synced: 03 Sep 2025

https://github.com/govinddixit/batch-normalisation

This notebook shows you one way to add batch normalization to a neural network built in PyTorch.

batch-normalization mlp pytorch pytorch-implementation

Last synced: 24 Jul 2025

https://github.com/justsecret123/one-piece-image-classifier

A quick image classifier trained with manually selected One Piece images.

batch-normalization classification classification-model computer-vision convolutional-neural-networks data-augmentation deep-learning deep-neural-networks docker early-stopping image-classification image-classifier jupyterlab keras machine-learning notebook python tensorflow tensorflow-serving transfer-learning

Last synced: 30 Dec 2025

https://github.com/mbeps/machine-learning-pacman-classifier-coursework

The project implements a neural network classifier with advanced techniques like batch normalisation, dropout, and gradient clipping to control Pacman's movements based on the game state.

artificial-intelligence backpropagation batch-normalization deep-learning gradient-descent machine-learning neural-networks

Last synced: 21 Mar 2025

https://github.com/angusg/batch-norm-vulnerability

Master source code repo for "Batch Normalization is a Cause of Adversarial Vulnerability"

adversarial-attacks adversarial-examples batch-normalization deep-learning machine-learning pytorch

Last synced: 04 Apr 2025

https://github.com/chaitanyac22/deep_learning_hand_gesture_recognition_project

The objective of this project is to recognize hand gestures using state-of-the-art neural networks.

batch-normalization cnn cnn-rnn-stack conv3d convolutional-neural-networks data-generators deep-learning dropouts gru keras lstm model-building model-evaluation neural-networks prediction recurrent-neural-networks rnn tensorflow transfer-learning

Last synced: 27 Mar 2025

https://github.com/bhattbhavesh91/batch-normalization-demo

In this tutorial, I'll show how Batch normalization can be used for improving the speed, performance, and stability for Neural Networks.

advantages batch-normalization keras keras-tensorflow neural-networks

Last synced: 17 Apr 2025

https://github.com/zfturbo/pretrained-vgg-neural-nets-in-tensorflow

Set of VGG neural net models for TensorFlow. Weights converted from Pytorch.

batch-normalization pretrained-models tensorflow vgg16 vgg19

Last synced: 16 Mar 2025

https://github.com/somjit101/mnist-classification-keras

A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.

adam-optimizer batch-normalization deep-learning dropout-keras grid-search hyperparameter-tuning image-classification keras mnist mnist-classification neural-network sgd-optimizer tensorflow

Last synced: 14 Jun 2025

https://github.com/mbeps/custom-neural-network-classifier

The project implements a neural network classifier with advanced techniques like batch normalisation, dropout, and gradient clipping to control Pacman's movements based on the game state. This is a coursework for the Machine Learning (6CCS3ML1) module for King's College London.

artificial-intelligence backpropagation batch-normalization deep-learning gradient-descent machine-learning neural-networks

Last synced: 09 Oct 2025

https://github.com/somjit101/mnist-classification-tensorflow

A simple study on how to use Tensorflow platform (without Keras) for a simple number classification task using a Neural Network.

batch-normalization deep-learning dropout-layers mnist-classification mnist-dataset neural-network tensorflow

Last synced: 07 Dec 2025

https://github.com/lovesaroha/learning-neural-networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

batch-normalization dropout gradient-descent logistic-regression neural-network numpy python regularization

Last synced: 02 Mar 2025

https://github.com/chefo93/numpy-library

Discover NumPy, the essential library for scientific computing in Python. It offers powerful array operations and seamless integration with C/C++ and Fortran. 🐙✨

adagrad adam-optimizer batch-normalization cpp dataclasses deep-learning deep-neural-networks dropout financial fundamental-analysis momentum netcdf netcdf4 pytorch serialization series-datasets technical-analysis trend-analysis

Last synced: 28 Jun 2025

https://github.com/kush1912/facial-emotion-recognition

batch-normalization cnn-classification cnn-keras deep-neural-networks deeplearning dropout facial-emotion-recognition image image-classification image-recognition neural-network opencv

Last synced: 24 Dec 2025

https://github.com/assem-elqersh/alexnet-vgg-cifar10-comparison

Comparative analysis of AlexNet and VGG architectures trained on the CIFAR-10 dataset. The project explores differences in model design, feature extraction capabilities, and performance metrics across different neural network architectures.

alexnet batch-normalization cifar-10 cifar10 pytorch vgg16 vgg8

Last synced: 12 May 2025

https://github.com/sabin74/image_classification_cifar10

This project demonstrates how to build a deep learning image classifier using the CIFAR-10 dataset. Two approaches are implemented: A custom Convolutional Neural Network (CNN) & A transfer learning model using VGG16

batch-normalization cifar-10-dataset cnn-a data-augmentation evaluation image-classification tensorflow transfer-learning vgg16-tensorflow

Last synced: 23 Aug 2025

https://github.com/si-ddhartha/batchnorm_before_vs_after

batch-normalization tensorflow2

Last synced: 14 Oct 2025

https://github.com/himanshumahajan138/transfervision

Transfer learning for image classification using pre-trained models like ResNet50, ResNet100, EfficientNetB0, and VGG16 in Keras. Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.

adam-optimizer batch-normalization data-pre-processing deep-learning early-stopping efficientnetb0 image-augmentation image-classification keras multiclass-classification precision-recall-auc-f1-score regularization relu-activation resnet100 resnet50 transfer-learning vgg16

Last synced: 06 Mar 2025

https://github.com/cserajdeep/dnn-iris-pytorch

Deep Neural Network with Batch normalization for tabulat datasets.

batch batch-normalization classification cuda deep-learning dnn iris-dataset

Last synced: 18 Jun 2025

https://github.com/ashithapallath/facemaskdetection-using-cnn

This project implements a CNN-based Face Mask Detection Model to classify images as with mask or without mask. Trained on a labeled dataset, the model achieves 90% accuracy, making it suitable for real-world applications like public safety monitoring.

adam-optimizer batch-normalization detection dropout-layers machine-learning python

Last synced: 29 Mar 2025

https://github.com/stevenrice99/wall-following-robot-navigation

Wall-Following Robot Navigation

ai artificial-intelligence batch-normalization classification deep-learning deep-neural-networks dropout dropout-layers machine-learning ml neural-network neural-networks pandas python python3 pytorch sklearn torch uc-irvine uc-irvine-dataset

Last synced: 06 Mar 2025

https://github.com/somjit101/dcgan-gradient-tape

A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.

batch-normalization convolutional-layers dcgan-tensorflow deconvolution dropout-layers gan generative-adversarial-network gradient-tape keras-tensorflow mnist-dataset neural-network tensorflow transpose-convolution