batchnorm

There are 0 repository under batchnorm topic.

zhanghang1989 / PyTorch-Encoding
A CV toolkit for my papers.
deep-learning batchnorm synchronized-batchnorm encoding-layer
Language:Python 2030
dougsouza / pytorch-sync-batchnorm-example
How to use Cross Replica / Synchronized Batchnorm in Pytorch
pytorch batchnorm distributed-training dataparallel
247
hongyi-zhang / Fixup
A Re-implementation of Fixed-update Initialization
fixup batchnorm resnet
Language:Python 149
StacyYang / MXNet-Gluon-SyncBN
MXNet Gluon Synchronized Batch Normalization Preview
mxnet gluon batchnorm
Language:Python 77
jack-willturner / batchnorm-pruning
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
sgd pruning deep-learning batchnorm lasso
Language:Python 70
srinadhu / CS231n
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
convolutional-neural-networks knn svm softmax-classifier batchnorm dropout cifar10 pytorch rnn numpy lstm image-captioning coco-dataset network-visualization saliency-map fooling-images class-visualization style-transfer gan cs231n-assignment
Language:Jupyter Notebook 40
zmyzheng / Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
tensorflow keras face-recognition neural-style-transfer autonomous-driving yolo music-generation translation speech-recognition natural-language-processing cnn rnn lstm adam dropout batchnorm xavier-he-initialization hyperparameter-tuning regularization residual-networks
Language:Jupyter Notebook 37
Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
deep-learning deep-neural-networks fastai-v3 cnn callbacks batchnorm augmentation rnn optimizer cyclegan-pytorch nlp swift tensorflow ulmfit audio mixup
Language:Jupyter Notebook 26
xternalz / SDPoint
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
convolutional-networks resnets resnet efficient-inference pooling downsampling convolutional-neural-networks efficient-model deep-neural-networks deep-learning deep-learning-algorithms computer-vision regularization cost-adjustable resnext preact-resnet imagenet imagenet-dataset batch-normalization batchnorm
Language:Python 18
ytoon / Synchronized-BatchNorm-PyTorch
Synchronized BatchNorm in PyTorch 1.0
batchnorm synchronized-batchnorm
Language:Cuda 15
revilokeb / vgg16_batchnorm
VGG16 architecture with BatchNorm
batchnorm caffe pre-trained vgg16 weights
14
techpro-studio / NNToolkitCore
Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.
neural-network accelerate ios macos watchos gru batchnorm dense audio-processing lstm spectrogram conv1d nn-filters dft rnn android
Language:C 7
345ishaan / Digit-Classification-using-Numpy
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
mnist-classification mnist-handwriting-recognition backpropagation-algorithm numpy neural-network batchnorm onlynumpy trained digit-recognition
Language:Python 5
vsooda / mxnet_merge_bn
remove batchnorm when deploy mxnet model
batchnorm mxnet remove
Language:Python 5
fk128 / batchnorm-transferlearning
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. TL;DR: Fine-tuning only the batch norm affine parameters leads to similar performance as to fine-tuning all of the model parameters
batchnorm batchnormalization tensorflow2 transfer-learning
Language:Jupyter Notebook 4
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
Language:Python 4
raja-kumar / folding-batchnorm
Code to fold batch norm layer of a DNN model in pytorch
batchnorm batchnormalization deep-neural-networks mobilenetv2
Language:Python 3
AIArabicProjects / DenseNet-Architicture
densenet denseblock cnn convolutionneuralnetwork batchnorm softmax relu featuremap
Language:Jupyter Notebook 2
Longqi-S / Conv_BatchNorm_Fusion
fuse batch normalization layer and con layer in CNN
batchnorm fusion
Language:Python 2
qdm097 / MNIST-WGAN
A C# WGAN.
wgan gan generative-adversarial-network convolution upscaling mnist number-generator neural-network rmsprop pooling residual-networks rnn cnn image-generation transposedconvolution batchnorm mnist-generation wasserstein-gan partial-convolution-based-padding
Language:C# 2
alm4z / mlp-mnist
Neural network with momentum and batchnorm (MNIST classification example)
batchnorm mlp mnist momentum network neural numpy python
Language:Jupyter Notebook 1
code-cse / DL-using-Numpy
This repository contains different implementation of deep learning model using Numpy.
numpy cnn batchnorm deep-learning neural-networks
Language:Python 1
qdm097 / MNIST-CNN
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
convolutional-neural-networks neural-network neural-networks neural-nets neuralnetworks stochastic-gradient-descent gradient-descent image-classification image-recognition pooling nesterov-accelerated-sgd nesterov-momentum mnist mnist-handwriting-recognition rmsprop batchnorm mnist-dataset convolution transposedconvolution
Language:C# 1
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.
activation-functions batchnorm cnn cross-entropy-loss deep-learning dropout feedforward-neural-network neural-network neural-networks-from-scratch numpy oops-in-python optimizer pooling rnn university-assignment
Language:Python 0
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-learning deep-neural-networks mlp-networks batchnormalization batchnorm
Language:Python 0
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.
deep-learning tensorflow keras neural-network machine-learning lenet-5 batchnormalization batchnorm lenet-architecture
Language:Python 0
bsridatta / Neural-Networks-from-Scratch
Neural Networks from scratch using NumPy. Multi-layer NN with BatchNorm. Character Level RNN
cifar deep-learning scratch python numpy rnn batchnorm
Language:Jupyter Notebook
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
batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets
Language:Python
kobiso / FilterResponseNorm-MXNet
MXNet implementation of Filter Response Normalization Layer (FRN) published in CVPR2020
batchnorm frn groupnorm normalization tlu
Language:Python
MK-ek11 / Implement-GAN-on-MNIST-Dataset
Implement GAN (Generative Adversarial Network) on MNIST dataset. Vary the hyperparameters and analyze the corresponding results.
batchnorm deep-neural-networks dropout-layers fnn fully-connected-neural-network generative-adversarial-network matplotlib neural-network numpy pytorch
Language:Jupyter Notebook
niketan108 / CNN-on-MNIST
Built CNN model with different no. of layers with added dropout on MNIST data
adam-optimizer artificial-intelligence batchnorm cnn cnn-keras cnn-model convnet deep-learning deep-neural-networks keras-tensorflow machine-learning machine-learning-algorithms maxpooling mnist mnist-classification relu softmax tensorflow
Language:Jupyter Notebook
niketan108 / Keras-on-MNIST
Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.
adam adam-optimizer artificial-neural-networks batchnorm deep-learning deep-neural-networks dropout keras keras-tensorflow machine-learning mlp mlp-networks mnist-dataset mnist-handwriting-recognition relu relu-layer softmax softmax-algorithm softmax-layer tensorflow-models
Language:Jupyter Notebook
penny4860 / CarND-P2-Classifier
I implemented a classifier using batchnorm provided by tensorflow slim and analyzed the results using tensorboard.
tensorflow batchnorm tensorboard
Language:Jupyter Notebook
spolivin / nnzerotohero_solutions
Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course
autograd batchnorm bigram-model karpathy mlp neural-networks pytorch trigram-model wavenet-pytorch
Language:Jupyter Notebook

batchnorm

zhanghang1989 / PyTorch-Encoding

dougsouza / pytorch-sync-batchnorm-example

hongyi-zhang / Fixup

StacyYang / MXNet-Gluon-SyncBN

jack-willturner / batchnorm-pruning

srinadhu / CS231n

zmyzheng / Neural-Networks-and-Deep-Learning

jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group

xternalz / SDPoint

ytoon / Synchronized-BatchNorm-PyTorch

revilokeb / vgg16_batchnorm

techpro-studio / NNToolkitCore

345ishaan / Digit-Classification-using-Numpy

vsooda / mxnet_merge_bn

fk128 / batchnorm-transferlearning

mindee / Problem-of-BatchNorm

raja-kumar / folding-batchnorm

AIArabicProjects / DenseNet-Architicture

Longqi-S / Conv_BatchNorm_Fusion

qdm097 / MNIST-WGAN

alm4z / mlp-mnist

code-cse / DL-using-Numpy

qdm097 / MNIST-CNN

arkanivasarkar / Deep-Learning-from-Scratch

ruqoyyasadiq / deep_learning-MLP-networks

tairtahar / batchnorm

bsridatta / Neural-Networks-from-Scratch

dansolombrino / Biscuits

kobiso / FilterResponseNorm-MXNet

MK-ek11 / Implement-GAN-on-MNIST-Dataset

niketan108 / CNN-on-MNIST

niketan108 / Keras-on-MNIST

penny4860 / CarND-P2-Classifier

spolivin / nnzerotohero_solutions