Topic: batchnorm Goto Github
Some thing interesting about batchnorm
Some thing interesting about batchnorm
batchnorm,MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
User: 345ishaan
batchnorm,
Organization: aiarabicprojects
batchnorm,Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.
User: arkanivasarkar
batchnorm,Neural Networks from scratch using NumPy. Multi-layer NN with BatchNorm. Character Level RNN
User: bsridatta
batchnorm,This repository contains different implementation of deep learning model using Numpy.
User: code-cse
batchnorm,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
User: dansolombrino
batchnorm,How to use Cross Replica / Synchronized Batchnorm in Pytorch
User: dougsouza
batchnorm,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
User: fk128
Home Page: https://openreview.net/forum?id=TjwDWRdfZpg
batchnorm,A Re-implementation of Fixed-update Initialization
User: hongyi-zhang
batchnorm,Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
User: jack-willturner
batchnorm,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.
User: jcatanza
Home Page: https://github.com/jcatanza/Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group.git
batchnorm,MXNet implementation of Filter Response Normalization Layer (FRN) published in CVPR2020
User: kobiso
batchnorm,fuse batch normalization layer and con layer in CNN
User: longqi-s
batchnorm,Playground repository to highlight the problem of BatchNorm layers for an blog article
Organization: mindee
batchnorm,Implement GAN (Generative Adversarial Network) on MNIST dataset. Vary the hyperparameters and analyze the corresponding results.
User: mk-ek11
batchnorm,Built CNN model with different no. of layers with added dropout on MNIST data
User: niketan108
batchnorm,Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.
User: niketan108
batchnorm,I implemented a classifier using batchnorm provided by tensorflow slim and analyzed the results using tensorboard.
User: penny4860
batchnorm,Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
User: qdm097
batchnorm,A C# WGAN.
User: qdm097
batchnorm,Code to fold batch norm layer of a DNN model in pytorch
User: raja-kumar
batchnorm,VGG16 architecture with BatchNorm
User: revilokeb
batchnorm,As part of a bigger work, this work focuses on implementing MLPs and Batch Normalization with Numpy and Python only.
User: ruqoyyasadiq
batchnorm,Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course
User: spolivin
Home Page: https://github.com/karpathy/nn-zero-to-hero/tree/master
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.
User: tairtahar
batchnorm,Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.
Organization: techpro-studio
batchnorm,Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
User: xternalz
batchnorm,Synchronized BatchNorm in PyTorch 1.0
User: ytoon
batchnorm,A CV toolkit for my papers.
User: zhanghang1989
Home Page: https://hangzhang.org/PyTorch-Encoding/
batchnorm,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
User: zmyzheng
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